Add files using upload-large-folder tool
Browse files- checkpoints/config.json +36 -0
- checkpoints/target_val/model_0009/config.json +40 -0
- checkpoints/target_val/model_0009/metrics.json +9 -0
- checkpoints/target_val/model_0010/config.json +40 -0
- checkpoints/target_val/model_0010/metrics.json +9 -0
- checkpoints/target_val/model_0012/config.json +40 -0
- checkpoints/target_val/model_0012/metrics.json +9 -0
- checkpoints/target_val/model_0020/config.json +40 -0
- checkpoints/target_val/model_0020/metrics.json +9 -0
- checkpoints/target_val/model_0024/config.json +40 -0
- checkpoints/target_val/model_0024/metrics.json +9 -0
- checkpoints/target_val/model_0025/config.json +40 -0
- checkpoints/target_val/model_0025/metrics.json +9 -0
- checkpoints/target_val/model_0061/config.json +40 -0
- checkpoints/target_val/model_0061/metrics.json +9 -0
- checkpoints/target_val/model_0078/config.json +40 -0
- checkpoints/target_val/model_0078/metrics.json +9 -0
- checkpoints/target_val/model_0087/config.json +40 -0
- checkpoints/target_val/model_0087/metrics.json +9 -0
- checkpoints/target_val/model_0100/config.json +40 -0
- checkpoints/target_val/model_0100/metrics.json +9 -0
- checkpoints/target_val/model_0101/config.json +40 -0
- checkpoints/target_val/model_0101/metrics.json +9 -0
- checkpoints/target_val/model_0110/config.json +40 -0
- checkpoints/target_val/model_0110/metrics.json +9 -0
- checkpoints/target_val/model_0114/config.json +40 -0
- checkpoints/target_val/model_0114/metrics.json +9 -0
- checkpoints/target_val/model_0129/config.json +40 -0
- checkpoints/target_val/model_0129/metrics.json +9 -0
- checkpoints/target_val/model_0138/config.json +40 -0
- checkpoints/target_val/model_0138/metrics.json +9 -0
- checkpoints/target_val/model_0141/config.json +40 -0
- checkpoints/target_val/model_0141/metrics.json +9 -0
- checkpoints/target_val/model_0150/config.json +40 -0
- checkpoints/target_val/model_0153/config.json +40 -0
- checkpoints/target_val/model_0153/metrics.json +9 -0
- checkpoints/target_val/model_0159/config.json +40 -0
- checkpoints/target_val/model_0159/metrics.json +9 -0
- checkpoints/target_val/model_0167/config.json +40 -0
- checkpoints/target_val/model_0167/metrics.json +9 -0
- checkpoints/target_val/model_0181/config.json +40 -0
- checkpoints/target_val/model_0181/metrics.json +9 -0
- checkpoints/target_val/model_0187/config.json +40 -0
- checkpoints/target_val/model_0187/metrics.json +9 -0
- checkpoints/target_val/model_0193/config.json +40 -0
- checkpoints/target_val/model_0193/metrics.json +9 -0
- checkpoints/target_val/model_0238/config.json +40 -0
- checkpoints/target_val/model_0238/metrics.json +9 -0
- checkpoints/target_val/model_0244/config.json +40 -0
- checkpoints/target_val/model_0244/metrics.json +9 -0
checkpoints/config.json
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{
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"name": "exp1",
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"dataset": "cifar10",
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"num_samples": 50000,
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"architecture": "FFCVResNet9",
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"num_classes": 10,
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"epochs": 24,
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"batch_size": 512,
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"learning_rate": 0.5,
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"use_dp": false,
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"dp_epsilon": null,
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"dp_delta": null,
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"dp_max_grad_norm": null,
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"splits": {
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"shadow": {
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"num_models": 1024,
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"seed": 0,
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/shadow/membership_matrix.npz"
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},
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"target_train": {
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"num_models": 256,
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"seed": 1,
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_train/membership_matrix.npz"
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},
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"target_val": {
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"num_models": 256,
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"seed": 2,
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_val/membership_matrix.npz"
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},
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"target_test": {
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"num_models": 256,
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"seed": 3,
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_test/membership_matrix.npz"
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}
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}
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}
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checkpoints/target_val/model_0009/config.json
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{
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"experiment": "exp1",
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"split": "target_val",
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"model_id": 9,
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"seed": 20009,
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"name": "exp1",
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"dataset": "cifar10",
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"num_samples": 50000,
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"architecture": "FFCVResNet9",
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"num_classes": 10,
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"epochs": 24,
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"batch_size": 512,
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"learning_rate": 0.5,
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"use_dp": false,
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"dp_epsilon": null,
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"dp_delta": null,
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"dp_max_grad_norm": null,
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"splits": {
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"shadow": {
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"num_models": 1024,
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"seed": 0,
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/shadow/membership_matrix.npz"
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},
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"target_train": {
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"num_models": 256,
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"seed": 1,
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_train/membership_matrix.npz"
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},
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"target_val": {
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"num_models": 256,
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"seed": 2,
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_val/membership_matrix.npz"
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},
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"target_test": {
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"num_models": 256,
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"seed": 3,
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_test/membership_matrix.npz"
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}
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}
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}
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checkpoints/target_val/model_0009/metrics.json
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{
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"train_loss": 0.7425068203283816,
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"train_acc": 90.91198979591837,
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"test_loss": 0.5029532104730606,
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"test_acc": 84.95,
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"best_acc": 84.95,
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"training_time": 340.2446229457855,
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"num_train_samples": 25102
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}
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checkpoints/target_val/model_0010/config.json
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{
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"experiment": "exp1",
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"split": "target_val",
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"model_id": 10,
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"seed": 20010,
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"name": "exp1",
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"dataset": "cifar10",
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"num_samples": 50000,
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"architecture": "FFCVResNet9",
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"num_classes": 10,
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"epochs": 24,
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"batch_size": 512,
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"learning_rate": 0.5,
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"use_dp": false,
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"dp_delta": null,
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"dp_max_grad_norm": null,
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"splits": {
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"shadow": {
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| 20 |
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"num_models": 1024,
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| 21 |
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"seed": 0,
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| 22 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/shadow/membership_matrix.npz"
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},
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| 24 |
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"target_train": {
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| 25 |
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"num_models": 256,
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| 26 |
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"seed": 1,
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| 27 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_train/membership_matrix.npz"
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},
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| 29 |
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"target_val": {
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| 30 |
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"num_models": 256,
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"seed": 2,
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| 32 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_val/membership_matrix.npz"
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},
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| 34 |
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"target_test": {
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| 35 |
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"num_models": 256,
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| 36 |
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"seed": 3,
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| 37 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_test/membership_matrix.npz"
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}
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}
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}
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checkpoints/target_val/model_0010/metrics.json
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{
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"train_loss": 0.7454109495999862,
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| 3 |
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"train_acc": 90.76052295918367,
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"test_loss": 0.5075431317090988,
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"test_acc": 85.36,
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"best_acc": 85.36,
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"training_time": 341.44420862197876,
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| 8 |
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"num_train_samples": 25101
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}
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checkpoints/target_val/model_0012/config.json
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{
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"experiment": "exp1",
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"split": "target_val",
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| 4 |
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"model_id": 12,
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| 5 |
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"seed": 20012,
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| 6 |
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"name": "exp1",
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| 7 |
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"dataset": "cifar10",
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| 8 |
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"num_samples": 50000,
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| 9 |
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"architecture": "FFCVResNet9",
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| 10 |
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"num_classes": 10,
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| 11 |
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"epochs": 24,
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| 12 |
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"batch_size": 512,
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| 13 |
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"learning_rate": 0.5,
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| 14 |
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"use_dp": false,
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| 15 |
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| 16 |
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"dp_max_grad_norm": null,
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| 18 |
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"splits": {
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| 19 |
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"shadow": {
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| 20 |
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"num_models": 1024,
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| 21 |
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"seed": 0,
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| 22 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/shadow/membership_matrix.npz"
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| 23 |
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},
|
| 24 |
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"target_train": {
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| 25 |
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"num_models": 256,
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| 26 |
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"seed": 1,
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| 27 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_train/membership_matrix.npz"
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| 28 |
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},
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| 29 |
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"target_val": {
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| 30 |
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"num_models": 256,
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| 31 |
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"seed": 2,
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| 32 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_val/membership_matrix.npz"
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| 33 |
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},
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| 34 |
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"target_test": {
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| 35 |
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"num_models": 256,
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| 36 |
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"seed": 3,
|
| 37 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_test/membership_matrix.npz"
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| 38 |
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}
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| 39 |
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}
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}
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checkpoints/target_val/model_0012/metrics.json
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{
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"train_loss": 0.7538010254502296,
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| 3 |
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"train_acc": 90.50699869791667,
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"test_loss": 0.5019295275211334,
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"test_acc": 85.5,
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"best_acc": 85.5,
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| 7 |
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"training_time": 335.7468912601471,
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| 8 |
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"num_train_samples": 24910
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| 9 |
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}
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checkpoints/target_val/model_0020/config.json
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{
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"experiment": "exp1",
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"split": "target_val",
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"model_id": 20,
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| 5 |
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"seed": 20020,
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| 6 |
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"name": "exp1",
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| 7 |
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"dataset": "cifar10",
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| 8 |
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"num_samples": 50000,
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| 9 |
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"architecture": "FFCVResNet9",
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| 10 |
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"num_classes": 10,
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| 11 |
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"epochs": 24,
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| 12 |
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"batch_size": 512,
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| 13 |
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"learning_rate": 0.5,
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| 14 |
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"use_dp": false,
|
| 15 |
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"dp_epsilon": null,
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| 16 |
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"dp_delta": null,
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"dp_max_grad_norm": null,
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| 18 |
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"splits": {
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| 19 |
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"shadow": {
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| 20 |
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"num_models": 1024,
|
| 21 |
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"seed": 0,
|
| 22 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/shadow/membership_matrix.npz"
|
| 23 |
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},
|
| 24 |
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"target_train": {
|
| 25 |
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"num_models": 256,
|
| 26 |
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"seed": 1,
|
| 27 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_train/membership_matrix.npz"
|
| 28 |
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},
|
| 29 |
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"target_val": {
|
| 30 |
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"num_models": 256,
|
| 31 |
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"seed": 2,
|
| 32 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_val/membership_matrix.npz"
|
| 33 |
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},
|
| 34 |
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"target_test": {
|
| 35 |
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"num_models": 256,
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| 36 |
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"seed": 3,
|
| 37 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_test/membership_matrix.npz"
|
| 38 |
+
}
|
| 39 |
+
}
|
| 40 |
+
}
|
checkpoints/target_val/model_0020/metrics.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
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|
|
|
|
|
|
|
|
|
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|
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|
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|
| 1 |
+
{
|
| 2 |
+
"train_loss": 0.7454380356535619,
|
| 3 |
+
"train_acc": 90.6967474489796,
|
| 4 |
+
"test_loss": 0.5097612604498863,
|
| 5 |
+
"test_acc": 84.64,
|
| 6 |
+
"best_acc": 84.64,
|
| 7 |
+
"training_time": 349.44000220298767,
|
| 8 |
+
"num_train_samples": 25116
|
| 9 |
+
}
|
checkpoints/target_val/model_0024/config.json
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
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|
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|
|
|
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|
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|
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|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"experiment": "exp1",
|
| 3 |
+
"split": "target_val",
|
| 4 |
+
"model_id": 24,
|
| 5 |
+
"seed": 20024,
|
| 6 |
+
"name": "exp1",
|
| 7 |
+
"dataset": "cifar10",
|
| 8 |
+
"num_samples": 50000,
|
| 9 |
+
"architecture": "FFCVResNet9",
|
| 10 |
+
"num_classes": 10,
|
| 11 |
+
"epochs": 24,
|
| 12 |
+
"batch_size": 512,
|
| 13 |
+
"learning_rate": 0.5,
|
| 14 |
+
"use_dp": false,
|
| 15 |
+
"dp_epsilon": null,
|
| 16 |
+
"dp_delta": null,
|
| 17 |
+
"dp_max_grad_norm": null,
|
| 18 |
+
"splits": {
|
| 19 |
+
"shadow": {
|
| 20 |
+
"num_models": 1024,
|
| 21 |
+
"seed": 0,
|
| 22 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/shadow/membership_matrix.npz"
|
| 23 |
+
},
|
| 24 |
+
"target_train": {
|
| 25 |
+
"num_models": 256,
|
| 26 |
+
"seed": 1,
|
| 27 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_train/membership_matrix.npz"
|
| 28 |
+
},
|
| 29 |
+
"target_val": {
|
| 30 |
+
"num_models": 256,
|
| 31 |
+
"seed": 2,
|
| 32 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_val/membership_matrix.npz"
|
| 33 |
+
},
|
| 34 |
+
"target_test": {
|
| 35 |
+
"num_models": 256,
|
| 36 |
+
"seed": 3,
|
| 37 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_test/membership_matrix.npz"
|
| 38 |
+
}
|
| 39 |
+
}
|
| 40 |
+
}
|
checkpoints/target_val/model_0024/metrics.json
ADDED
|
@@ -0,0 +1,9 @@
|
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|
|
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|
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|
|
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|
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|
|
|
|
| 1 |
+
{
|
| 2 |
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"train_loss": 0.7701030895113945,
|
| 3 |
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"train_acc": 89.75830078125,
|
| 4 |
+
"test_loss": 0.524449996650219,
|
| 5 |
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"test_acc": 84.28,
|
| 6 |
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"best_acc": 84.28,
|
| 7 |
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"training_time": 344.53569436073303,
|
| 8 |
+
"num_train_samples": 24934
|
| 9 |
+
}
|
checkpoints/target_val/model_0025/config.json
ADDED
|
@@ -0,0 +1,40 @@
|
|
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|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"experiment": "exp1",
|
| 3 |
+
"split": "target_val",
|
| 4 |
+
"model_id": 25,
|
| 5 |
+
"seed": 20025,
|
| 6 |
+
"name": "exp1",
|
| 7 |
+
"dataset": "cifar10",
|
| 8 |
+
"num_samples": 50000,
|
| 9 |
+
"architecture": "FFCVResNet9",
|
| 10 |
+
"num_classes": 10,
|
| 11 |
+
"epochs": 24,
|
| 12 |
+
"batch_size": 512,
|
| 13 |
+
"learning_rate": 0.5,
|
| 14 |
+
"use_dp": false,
|
| 15 |
+
"dp_epsilon": null,
|
| 16 |
+
"dp_delta": null,
|
| 17 |
+
"dp_max_grad_norm": null,
|
| 18 |
+
"splits": {
|
| 19 |
+
"shadow": {
|
| 20 |
+
"num_models": 1024,
|
| 21 |
+
"seed": 0,
|
| 22 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/shadow/membership_matrix.npz"
|
| 23 |
+
},
|
| 24 |
+
"target_train": {
|
| 25 |
+
"num_models": 256,
|
| 26 |
+
"seed": 1,
|
| 27 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_train/membership_matrix.npz"
|
| 28 |
+
},
|
| 29 |
+
"target_val": {
|
| 30 |
+
"num_models": 256,
|
| 31 |
+
"seed": 2,
|
| 32 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_val/membership_matrix.npz"
|
| 33 |
+
},
|
| 34 |
+
"target_test": {
|
| 35 |
+
"num_models": 256,
|
| 36 |
+
"seed": 3,
|
| 37 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_test/membership_matrix.npz"
|
| 38 |
+
}
|
| 39 |
+
}
|
| 40 |
+
}
|
checkpoints/target_val/model_0025/metrics.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
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|
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|
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|
|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"train_loss": 0.7513732699056467,
|
| 3 |
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"train_acc": 90.44596354166667,
|
| 4 |
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"test_loss": 0.5160767674446106,
|
| 5 |
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"test_acc": 84.41,
|
| 6 |
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"best_acc": 84.41,
|
| 7 |
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"training_time": 339.2326285839081,
|
| 8 |
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"num_train_samples": 25032
|
| 9 |
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}
|
checkpoints/target_val/model_0061/config.json
ADDED
|
@@ -0,0 +1,40 @@
|
|
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|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"experiment": "exp1",
|
| 3 |
+
"split": "target_val",
|
| 4 |
+
"model_id": 61,
|
| 5 |
+
"seed": 20061,
|
| 6 |
+
"name": "exp1",
|
| 7 |
+
"dataset": "cifar10",
|
| 8 |
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"num_samples": 50000,
|
| 9 |
+
"architecture": "FFCVResNet9",
|
| 10 |
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"num_classes": 10,
|
| 11 |
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"epochs": 24,
|
| 12 |
+
"batch_size": 512,
|
| 13 |
+
"learning_rate": 0.5,
|
| 14 |
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"use_dp": false,
|
| 15 |
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"dp_epsilon": null,
|
| 16 |
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|
| 17 |
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|
| 18 |
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"splits": {
|
| 19 |
+
"shadow": {
|
| 20 |
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"num_models": 1024,
|
| 21 |
+
"seed": 0,
|
| 22 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/shadow/membership_matrix.npz"
|
| 23 |
+
},
|
| 24 |
+
"target_train": {
|
| 25 |
+
"num_models": 256,
|
| 26 |
+
"seed": 1,
|
| 27 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_train/membership_matrix.npz"
|
| 28 |
+
},
|
| 29 |
+
"target_val": {
|
| 30 |
+
"num_models": 256,
|
| 31 |
+
"seed": 2,
|
| 32 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_val/membership_matrix.npz"
|
| 33 |
+
},
|
| 34 |
+
"target_test": {
|
| 35 |
+
"num_models": 256,
|
| 36 |
+
"seed": 3,
|
| 37 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_test/membership_matrix.npz"
|
| 38 |
+
}
|
| 39 |
+
}
|
| 40 |
+
}
|
checkpoints/target_val/model_0061/metrics.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"train_loss": 0.7533556434015433,
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| 3 |
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"train_acc": 90.3564453125,
|
| 4 |
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"test_loss": 0.520051546394825,
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| 5 |
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|
| 6 |
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"best_acc": 84.49,
|
| 7 |
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"training_time": 335.19214820861816,
|
| 8 |
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"num_train_samples": 24925
|
| 9 |
+
}
|
checkpoints/target_val/model_0078/config.json
ADDED
|
@@ -0,0 +1,40 @@
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"experiment": "exp1",
|
| 3 |
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"split": "target_val",
|
| 4 |
+
"model_id": 78,
|
| 5 |
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"seed": 20078,
|
| 6 |
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"name": "exp1",
|
| 7 |
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"dataset": "cifar10",
|
| 8 |
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|
| 9 |
+
"architecture": "FFCVResNet9",
|
| 10 |
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"num_classes": 10,
|
| 11 |
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"epochs": 24,
|
| 12 |
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"batch_size": 512,
|
| 13 |
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"learning_rate": 0.5,
|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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"splits": {
|
| 19 |
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"shadow": {
|
| 20 |
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|
| 21 |
+
"seed": 0,
|
| 22 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/shadow/membership_matrix.npz"
|
| 23 |
+
},
|
| 24 |
+
"target_train": {
|
| 25 |
+
"num_models": 256,
|
| 26 |
+
"seed": 1,
|
| 27 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_train/membership_matrix.npz"
|
| 28 |
+
},
|
| 29 |
+
"target_val": {
|
| 30 |
+
"num_models": 256,
|
| 31 |
+
"seed": 2,
|
| 32 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_val/membership_matrix.npz"
|
| 33 |
+
},
|
| 34 |
+
"target_test": {
|
| 35 |
+
"num_models": 256,
|
| 36 |
+
"seed": 3,
|
| 37 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_test/membership_matrix.npz"
|
| 38 |
+
}
|
| 39 |
+
}
|
| 40 |
+
}
|
checkpoints/target_val/model_0078/metrics.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
| 1 |
+
{
|
| 2 |
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"train_loss": 0.7585441942016283,
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| 3 |
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"train_acc": 89.99430338541667,
|
| 4 |
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| 5 |
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|
| 6 |
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"best_acc": 84.75,
|
| 7 |
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"training_time": 338.8967516422272,
|
| 8 |
+
"num_train_samples": 24801
|
| 9 |
+
}
|
checkpoints/target_val/model_0087/config.json
ADDED
|
@@ -0,0 +1,40 @@
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"experiment": "exp1",
|
| 3 |
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"split": "target_val",
|
| 4 |
+
"model_id": 87,
|
| 5 |
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"seed": 20087,
|
| 6 |
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"name": "exp1",
|
| 7 |
+
"dataset": "cifar10",
|
| 8 |
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"num_samples": 50000,
|
| 9 |
+
"architecture": "FFCVResNet9",
|
| 10 |
+
"num_classes": 10,
|
| 11 |
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"epochs": 24,
|
| 12 |
+
"batch_size": 512,
|
| 13 |
+
"learning_rate": 0.5,
|
| 14 |
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"use_dp": false,
|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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"splits": {
|
| 19 |
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"shadow": {
|
| 20 |
+
"num_models": 1024,
|
| 21 |
+
"seed": 0,
|
| 22 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/shadow/membership_matrix.npz"
|
| 23 |
+
},
|
| 24 |
+
"target_train": {
|
| 25 |
+
"num_models": 256,
|
| 26 |
+
"seed": 1,
|
| 27 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_train/membership_matrix.npz"
|
| 28 |
+
},
|
| 29 |
+
"target_val": {
|
| 30 |
+
"num_models": 256,
|
| 31 |
+
"seed": 2,
|
| 32 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_val/membership_matrix.npz"
|
| 33 |
+
},
|
| 34 |
+
"target_test": {
|
| 35 |
+
"num_models": 256,
|
| 36 |
+
"seed": 3,
|
| 37 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_test/membership_matrix.npz"
|
| 38 |
+
}
|
| 39 |
+
}
|
| 40 |
+
}
|
checkpoints/target_val/model_0087/metrics.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
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|
| 1 |
+
{
|
| 2 |
+
"train_loss": 0.7505854976673921,
|
| 3 |
+
"train_acc": 90.46223958333333,
|
| 4 |
+
"test_loss": 0.5116352289915085,
|
| 5 |
+
"test_acc": 84.92,
|
| 6 |
+
"best_acc": 84.92,
|
| 7 |
+
"training_time": 303.0080015659332,
|
| 8 |
+
"num_train_samples": 24952
|
| 9 |
+
}
|
checkpoints/target_val/model_0100/config.json
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"experiment": "exp1",
|
| 3 |
+
"split": "target_val",
|
| 4 |
+
"model_id": 100,
|
| 5 |
+
"seed": 20100,
|
| 6 |
+
"name": "exp1",
|
| 7 |
+
"dataset": "cifar10",
|
| 8 |
+
"num_samples": 50000,
|
| 9 |
+
"architecture": "FFCVResNet9",
|
| 10 |
+
"num_classes": 10,
|
| 11 |
+
"epochs": 24,
|
| 12 |
+
"batch_size": 512,
|
| 13 |
+
"learning_rate": 0.5,
|
| 14 |
+
"use_dp": false,
|
| 15 |
+
"dp_epsilon": null,
|
| 16 |
+
"dp_delta": null,
|
| 17 |
+
"dp_max_grad_norm": null,
|
| 18 |
+
"splits": {
|
| 19 |
+
"shadow": {
|
| 20 |
+
"num_models": 1024,
|
| 21 |
+
"seed": 0,
|
| 22 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/shadow/membership_matrix.npz"
|
| 23 |
+
},
|
| 24 |
+
"target_train": {
|
| 25 |
+
"num_models": 256,
|
| 26 |
+
"seed": 1,
|
| 27 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_train/membership_matrix.npz"
|
| 28 |
+
},
|
| 29 |
+
"target_val": {
|
| 30 |
+
"num_models": 256,
|
| 31 |
+
"seed": 2,
|
| 32 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_val/membership_matrix.npz"
|
| 33 |
+
},
|
| 34 |
+
"target_test": {
|
| 35 |
+
"num_models": 256,
|
| 36 |
+
"seed": 3,
|
| 37 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_test/membership_matrix.npz"
|
| 38 |
+
}
|
| 39 |
+
}
|
| 40 |
+
}
|
checkpoints/target_val/model_0100/metrics.json
ADDED
|
@@ -0,0 +1,9 @@
|
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|
|
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|
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|
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|
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|
|
| 1 |
+
{
|
| 2 |
+
"train_loss": 0.7682997323572636,
|
| 3 |
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"train_acc": 90.01057942708333,
|
| 4 |
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"test_loss": 0.5311087876558304,
|
| 5 |
+
"test_acc": 84.31,
|
| 6 |
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"best_acc": 84.31,
|
| 7 |
+
"training_time": 305.4520010948181,
|
| 8 |
+
"num_train_samples": 24837
|
| 9 |
+
}
|
checkpoints/target_val/model_0101/config.json
ADDED
|
@@ -0,0 +1,40 @@
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"experiment": "exp1",
|
| 3 |
+
"split": "target_val",
|
| 4 |
+
"model_id": 101,
|
| 5 |
+
"seed": 20101,
|
| 6 |
+
"name": "exp1",
|
| 7 |
+
"dataset": "cifar10",
|
| 8 |
+
"num_samples": 50000,
|
| 9 |
+
"architecture": "FFCVResNet9",
|
| 10 |
+
"num_classes": 10,
|
| 11 |
+
"epochs": 24,
|
| 12 |
+
"batch_size": 512,
|
| 13 |
+
"learning_rate": 0.5,
|
| 14 |
+
"use_dp": false,
|
| 15 |
+
"dp_epsilon": null,
|
| 16 |
+
"dp_delta": null,
|
| 17 |
+
"dp_max_grad_norm": null,
|
| 18 |
+
"splits": {
|
| 19 |
+
"shadow": {
|
| 20 |
+
"num_models": 1024,
|
| 21 |
+
"seed": 0,
|
| 22 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/shadow/membership_matrix.npz"
|
| 23 |
+
},
|
| 24 |
+
"target_train": {
|
| 25 |
+
"num_models": 256,
|
| 26 |
+
"seed": 1,
|
| 27 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_train/membership_matrix.npz"
|
| 28 |
+
},
|
| 29 |
+
"target_val": {
|
| 30 |
+
"num_models": 256,
|
| 31 |
+
"seed": 2,
|
| 32 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_val/membership_matrix.npz"
|
| 33 |
+
},
|
| 34 |
+
"target_test": {
|
| 35 |
+
"num_models": 256,
|
| 36 |
+
"seed": 3,
|
| 37 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_test/membership_matrix.npz"
|
| 38 |
+
}
|
| 39 |
+
}
|
| 40 |
+
}
|
checkpoints/target_val/model_0101/metrics.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"train_loss": 0.7423931124309698,
|
| 3 |
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"train_acc": 90.98307291666667,
|
| 4 |
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"test_loss": 0.5067862033843994,
|
| 5 |
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"test_acc": 85.16,
|
| 6 |
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"best_acc": 85.16,
|
| 7 |
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"training_time": 305.2703478336334,
|
| 8 |
+
"num_train_samples": 25040
|
| 9 |
+
}
|
checkpoints/target_val/model_0110/config.json
ADDED
|
@@ -0,0 +1,40 @@
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"experiment": "exp1",
|
| 3 |
+
"split": "target_val",
|
| 4 |
+
"model_id": 110,
|
| 5 |
+
"seed": 20110,
|
| 6 |
+
"name": "exp1",
|
| 7 |
+
"dataset": "cifar10",
|
| 8 |
+
"num_samples": 50000,
|
| 9 |
+
"architecture": "FFCVResNet9",
|
| 10 |
+
"num_classes": 10,
|
| 11 |
+
"epochs": 24,
|
| 12 |
+
"batch_size": 512,
|
| 13 |
+
"learning_rate": 0.5,
|
| 14 |
+
"use_dp": false,
|
| 15 |
+
"dp_epsilon": null,
|
| 16 |
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"dp_delta": null,
|
| 17 |
+
"dp_max_grad_norm": null,
|
| 18 |
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"splits": {
|
| 19 |
+
"shadow": {
|
| 20 |
+
"num_models": 1024,
|
| 21 |
+
"seed": 0,
|
| 22 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/shadow/membership_matrix.npz"
|
| 23 |
+
},
|
| 24 |
+
"target_train": {
|
| 25 |
+
"num_models": 256,
|
| 26 |
+
"seed": 1,
|
| 27 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_train/membership_matrix.npz"
|
| 28 |
+
},
|
| 29 |
+
"target_val": {
|
| 30 |
+
"num_models": 256,
|
| 31 |
+
"seed": 2,
|
| 32 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_val/membership_matrix.npz"
|
| 33 |
+
},
|
| 34 |
+
"target_test": {
|
| 35 |
+
"num_models": 256,
|
| 36 |
+
"seed": 3,
|
| 37 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_test/membership_matrix.npz"
|
| 38 |
+
}
|
| 39 |
+
}
|
| 40 |
+
}
|
checkpoints/target_val/model_0110/metrics.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"train_loss": 0.754770040512085,
|
| 3 |
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"train_acc": 90.3564453125,
|
| 4 |
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"test_loss": 0.5126996517181397,
|
| 5 |
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"test_acc": 84.78,
|
| 6 |
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"best_acc": 84.78,
|
| 7 |
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"training_time": 320.3782947063446,
|
| 8 |
+
"num_train_samples": 25074
|
| 9 |
+
}
|
checkpoints/target_val/model_0114/config.json
ADDED
|
@@ -0,0 +1,40 @@
|
|
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|
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|
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|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"experiment": "exp1",
|
| 3 |
+
"split": "target_val",
|
| 4 |
+
"model_id": 114,
|
| 5 |
+
"seed": 20114,
|
| 6 |
+
"name": "exp1",
|
| 7 |
+
"dataset": "cifar10",
|
| 8 |
+
"num_samples": 50000,
|
| 9 |
+
"architecture": "FFCVResNet9",
|
| 10 |
+
"num_classes": 10,
|
| 11 |
+
"epochs": 24,
|
| 12 |
+
"batch_size": 512,
|
| 13 |
+
"learning_rate": 0.5,
|
| 14 |
+
"use_dp": false,
|
| 15 |
+
"dp_epsilon": null,
|
| 16 |
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"dp_delta": null,
|
| 17 |
+
"dp_max_grad_norm": null,
|
| 18 |
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"splits": {
|
| 19 |
+
"shadow": {
|
| 20 |
+
"num_models": 1024,
|
| 21 |
+
"seed": 0,
|
| 22 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/shadow/membership_matrix.npz"
|
| 23 |
+
},
|
| 24 |
+
"target_train": {
|
| 25 |
+
"num_models": 256,
|
| 26 |
+
"seed": 1,
|
| 27 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_train/membership_matrix.npz"
|
| 28 |
+
},
|
| 29 |
+
"target_val": {
|
| 30 |
+
"num_models": 256,
|
| 31 |
+
"seed": 2,
|
| 32 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_val/membership_matrix.npz"
|
| 33 |
+
},
|
| 34 |
+
"target_test": {
|
| 35 |
+
"num_models": 256,
|
| 36 |
+
"seed": 3,
|
| 37 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_test/membership_matrix.npz"
|
| 38 |
+
}
|
| 39 |
+
}
|
| 40 |
+
}
|
checkpoints/target_val/model_0114/metrics.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"train_loss": 0.755737074961265,
|
| 3 |
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"train_acc": 90.37679036458333,
|
| 4 |
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"test_loss": 0.512160137295723,
|
| 5 |
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"test_acc": 84.61,
|
| 6 |
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"best_acc": 84.61,
|
| 7 |
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"training_time": 319.21780371665955,
|
| 8 |
+
"num_train_samples": 25012
|
| 9 |
+
}
|
checkpoints/target_val/model_0129/config.json
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
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|
|
|
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|
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|
|
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|
|
|
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|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"experiment": "exp1",
|
| 3 |
+
"split": "target_val",
|
| 4 |
+
"model_id": 129,
|
| 5 |
+
"seed": 20129,
|
| 6 |
+
"name": "exp1",
|
| 7 |
+
"dataset": "cifar10",
|
| 8 |
+
"num_samples": 50000,
|
| 9 |
+
"architecture": "FFCVResNet9",
|
| 10 |
+
"num_classes": 10,
|
| 11 |
+
"epochs": 24,
|
| 12 |
+
"batch_size": 512,
|
| 13 |
+
"learning_rate": 0.5,
|
| 14 |
+
"use_dp": false,
|
| 15 |
+
"dp_epsilon": null,
|
| 16 |
+
"dp_delta": null,
|
| 17 |
+
"dp_max_grad_norm": null,
|
| 18 |
+
"splits": {
|
| 19 |
+
"shadow": {
|
| 20 |
+
"num_models": 1024,
|
| 21 |
+
"seed": 0,
|
| 22 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/shadow/membership_matrix.npz"
|
| 23 |
+
},
|
| 24 |
+
"target_train": {
|
| 25 |
+
"num_models": 256,
|
| 26 |
+
"seed": 1,
|
| 27 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_train/membership_matrix.npz"
|
| 28 |
+
},
|
| 29 |
+
"target_val": {
|
| 30 |
+
"num_models": 256,
|
| 31 |
+
"seed": 2,
|
| 32 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_val/membership_matrix.npz"
|
| 33 |
+
},
|
| 34 |
+
"target_test": {
|
| 35 |
+
"num_models": 256,
|
| 36 |
+
"seed": 3,
|
| 37 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_test/membership_matrix.npz"
|
| 38 |
+
}
|
| 39 |
+
}
|
| 40 |
+
}
|
checkpoints/target_val/model_0129/metrics.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
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|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"train_loss": 0.7509648005167643,
|
| 3 |
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"train_acc": 90.52327473958333,
|
| 4 |
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"test_loss": 0.50985347032547,
|
| 5 |
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|
| 6 |
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"best_acc": 85.0,
|
| 7 |
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"training_time": 320.55133271217346,
|
| 8 |
+
"num_train_samples": 25047
|
| 9 |
+
}
|
checkpoints/target_val/model_0138/config.json
ADDED
|
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| 1 |
+
{
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| 2 |
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"experiment": "exp1",
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| 3 |
+
"split": "target_val",
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| 4 |
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"model_id": 138,
|
| 5 |
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"seed": 20138,
|
| 6 |
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"name": "exp1",
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| 7 |
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"dataset": "cifar10",
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| 8 |
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"num_samples": 50000,
|
| 9 |
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"architecture": "FFCVResNet9",
|
| 10 |
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"num_classes": 10,
|
| 11 |
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"epochs": 24,
|
| 12 |
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"batch_size": 512,
|
| 13 |
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|
| 14 |
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"use_dp": false,
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| 15 |
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| 16 |
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| 17 |
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"dp_max_grad_norm": null,
|
| 18 |
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"splits": {
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| 19 |
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"shadow": {
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| 20 |
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"num_models": 1024,
|
| 21 |
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"seed": 0,
|
| 22 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/shadow/membership_matrix.npz"
|
| 23 |
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},
|
| 24 |
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"target_train": {
|
| 25 |
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"num_models": 256,
|
| 26 |
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"seed": 1,
|
| 27 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_train/membership_matrix.npz"
|
| 28 |
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},
|
| 29 |
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"target_val": {
|
| 30 |
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"num_models": 256,
|
| 31 |
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"seed": 2,
|
| 32 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_val/membership_matrix.npz"
|
| 33 |
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},
|
| 34 |
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"target_test": {
|
| 35 |
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"num_models": 256,
|
| 36 |
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"seed": 3,
|
| 37 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_test/membership_matrix.npz"
|
| 38 |
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}
|
| 39 |
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}
|
| 40 |
+
}
|
checkpoints/target_val/model_0138/metrics.json
ADDED
|
@@ -0,0 +1,9 @@
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| 1 |
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{
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| 2 |
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"train_loss": 0.7564646576841673,
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| 3 |
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"train_acc": 90.53548177083333,
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| 4 |
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| 5 |
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| 6 |
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"best_acc": 84.65,
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| 7 |
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| 8 |
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"num_train_samples": 25072
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| 9 |
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|
checkpoints/target_val/model_0141/config.json
ADDED
|
@@ -0,0 +1,40 @@
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| 1 |
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{
|
| 2 |
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"experiment": "exp1",
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| 3 |
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"split": "target_val",
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| 4 |
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"model_id": 141,
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| 5 |
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|
| 6 |
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| 7 |
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"dataset": "cifar10",
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| 8 |
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| 9 |
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| 10 |
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|
| 11 |
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|
| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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"splits": {
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| 19 |
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"shadow": {
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| 20 |
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"num_models": 1024,
|
| 21 |
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"seed": 0,
|
| 22 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/shadow/membership_matrix.npz"
|
| 23 |
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},
|
| 24 |
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"target_train": {
|
| 25 |
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"num_models": 256,
|
| 26 |
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"seed": 1,
|
| 27 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_train/membership_matrix.npz"
|
| 28 |
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},
|
| 29 |
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"target_val": {
|
| 30 |
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"num_models": 256,
|
| 31 |
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"seed": 2,
|
| 32 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_val/membership_matrix.npz"
|
| 33 |
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},
|
| 34 |
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"target_test": {
|
| 35 |
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"num_models": 256,
|
| 36 |
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"seed": 3,
|
| 37 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_test/membership_matrix.npz"
|
| 38 |
+
}
|
| 39 |
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}
|
| 40 |
+
}
|
checkpoints/target_val/model_0141/metrics.json
ADDED
|
@@ -0,0 +1,9 @@
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|
| 1 |
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{
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| 2 |
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| 3 |
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| 4 |
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| 6 |
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| 7 |
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|
| 8 |
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"num_train_samples": 25034
|
| 9 |
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}
|
checkpoints/target_val/model_0150/config.json
ADDED
|
@@ -0,0 +1,40 @@
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|
| 1 |
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{
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| 2 |
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"experiment": "exp1",
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| 3 |
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"split": "target_val",
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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|
| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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"seed": 0,
|
| 22 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/shadow/membership_matrix.npz"
|
| 23 |
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},
|
| 24 |
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"target_train": {
|
| 25 |
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"num_models": 256,
|
| 26 |
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"seed": 1,
|
| 27 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_train/membership_matrix.npz"
|
| 28 |
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},
|
| 29 |
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"target_val": {
|
| 30 |
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"num_models": 256,
|
| 31 |
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"seed": 2,
|
| 32 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_val/membership_matrix.npz"
|
| 33 |
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},
|
| 34 |
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"target_test": {
|
| 35 |
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"num_models": 256,
|
| 36 |
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"seed": 3,
|
| 37 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_test/membership_matrix.npz"
|
| 38 |
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}
|
| 39 |
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}
|
| 40 |
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}
|
checkpoints/target_val/model_0153/config.json
ADDED
|
@@ -0,0 +1,40 @@
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|
| 1 |
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{
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| 2 |
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"experiment": "exp1",
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| 3 |
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"split": "target_val",
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 21 |
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|
| 22 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/shadow/membership_matrix.npz"
|
| 23 |
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},
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| 24 |
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|
| 25 |
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|
| 26 |
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"seed": 1,
|
| 27 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_train/membership_matrix.npz"
|
| 28 |
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},
|
| 29 |
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"target_val": {
|
| 30 |
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|
| 31 |
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"seed": 2,
|
| 32 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_val/membership_matrix.npz"
|
| 33 |
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},
|
| 34 |
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"target_test": {
|
| 35 |
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"num_models": 256,
|
| 36 |
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"seed": 3,
|
| 37 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_test/membership_matrix.npz"
|
| 38 |
+
}
|
| 39 |
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}
|
| 40 |
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}
|
checkpoints/target_val/model_0153/metrics.json
ADDED
|
@@ -0,0 +1,9 @@
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|
| 1 |
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{
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| 2 |
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"train_loss": 0.7622714812556902,
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"train_acc": 89.92513020833333,
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"test_loss": 0.5219576805830002,
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"best_acc": 84.31,
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|
| 8 |
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"num_train_samples": 25014
|
| 9 |
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|
checkpoints/target_val/model_0159/config.json
ADDED
|
@@ -0,0 +1,40 @@
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|
| 1 |
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{
|
| 2 |
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"experiment": "exp1",
|
| 3 |
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"split": "target_val",
|
| 4 |
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|
| 5 |
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|
| 6 |
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"name": "exp1",
|
| 7 |
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| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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"seed": 0,
|
| 22 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/shadow/membership_matrix.npz"
|
| 23 |
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},
|
| 24 |
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"target_train": {
|
| 25 |
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"num_models": 256,
|
| 26 |
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"seed": 1,
|
| 27 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_train/membership_matrix.npz"
|
| 28 |
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},
|
| 29 |
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"target_val": {
|
| 30 |
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"num_models": 256,
|
| 31 |
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"seed": 2,
|
| 32 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_val/membership_matrix.npz"
|
| 33 |
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},
|
| 34 |
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"target_test": {
|
| 35 |
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"num_models": 256,
|
| 36 |
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"seed": 3,
|
| 37 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_test/membership_matrix.npz"
|
| 38 |
+
}
|
| 39 |
+
}
|
| 40 |
+
}
|
checkpoints/target_val/model_0159/metrics.json
ADDED
|
@@ -0,0 +1,9 @@
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|
| 1 |
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{
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| 2 |
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"train_loss": 0.7557759756843249,
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| 3 |
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"train_acc": 90.26692708333333,
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|
| 7 |
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|
| 8 |
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"num_train_samples": 24839
|
| 9 |
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}
|
checkpoints/target_val/model_0167/config.json
ADDED
|
@@ -0,0 +1,40 @@
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|
| 1 |
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{
|
| 2 |
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"experiment": "exp1",
|
| 3 |
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"split": "target_val",
|
| 4 |
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"model_id": 167,
|
| 5 |
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|
| 6 |
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"name": "exp1",
|
| 7 |
+
"dataset": "cifar10",
|
| 8 |
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"num_samples": 50000,
|
| 9 |
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"architecture": "FFCVResNet9",
|
| 10 |
+
"num_classes": 10,
|
| 11 |
+
"epochs": 24,
|
| 12 |
+
"batch_size": 512,
|
| 13 |
+
"learning_rate": 0.5,
|
| 14 |
+
"use_dp": false,
|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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"splits": {
|
| 19 |
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"shadow": {
|
| 20 |
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"num_models": 1024,
|
| 21 |
+
"seed": 0,
|
| 22 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/shadow/membership_matrix.npz"
|
| 23 |
+
},
|
| 24 |
+
"target_train": {
|
| 25 |
+
"num_models": 256,
|
| 26 |
+
"seed": 1,
|
| 27 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_train/membership_matrix.npz"
|
| 28 |
+
},
|
| 29 |
+
"target_val": {
|
| 30 |
+
"num_models": 256,
|
| 31 |
+
"seed": 2,
|
| 32 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_val/membership_matrix.npz"
|
| 33 |
+
},
|
| 34 |
+
"target_test": {
|
| 35 |
+
"num_models": 256,
|
| 36 |
+
"seed": 3,
|
| 37 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_test/membership_matrix.npz"
|
| 38 |
+
}
|
| 39 |
+
}
|
| 40 |
+
}
|
checkpoints/target_val/model_0167/metrics.json
ADDED
|
@@ -0,0 +1,9 @@
|
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|
|
|
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|
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|
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|
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|
| 1 |
+
{
|
| 2 |
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"train_loss": 0.7571542772154013,
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| 3 |
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"train_acc": 90.14078776041667,
|
| 4 |
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| 5 |
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|
| 6 |
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|
| 7 |
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"training_time": 65.87684154510498,
|
| 8 |
+
"num_train_samples": 24942
|
| 9 |
+
}
|
checkpoints/target_val/model_0181/config.json
ADDED
|
@@ -0,0 +1,40 @@
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|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"experiment": "exp1",
|
| 3 |
+
"split": "target_val",
|
| 4 |
+
"model_id": 181,
|
| 5 |
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"seed": 20181,
|
| 6 |
+
"name": "exp1",
|
| 7 |
+
"dataset": "cifar10",
|
| 8 |
+
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|
| 9 |
+
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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"splits": {
|
| 19 |
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"shadow": {
|
| 20 |
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"num_models": 1024,
|
| 21 |
+
"seed": 0,
|
| 22 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/shadow/membership_matrix.npz"
|
| 23 |
+
},
|
| 24 |
+
"target_train": {
|
| 25 |
+
"num_models": 256,
|
| 26 |
+
"seed": 1,
|
| 27 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_train/membership_matrix.npz"
|
| 28 |
+
},
|
| 29 |
+
"target_val": {
|
| 30 |
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"num_models": 256,
|
| 31 |
+
"seed": 2,
|
| 32 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_val/membership_matrix.npz"
|
| 33 |
+
},
|
| 34 |
+
"target_test": {
|
| 35 |
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"num_models": 256,
|
| 36 |
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"seed": 3,
|
| 37 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_test/membership_matrix.npz"
|
| 38 |
+
}
|
| 39 |
+
}
|
| 40 |
+
}
|
checkpoints/target_val/model_0181/metrics.json
ADDED
|
@@ -0,0 +1,9 @@
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|
| 1 |
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{
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
checkpoints/target_val/model_0187/config.json
ADDED
|
@@ -0,0 +1,40 @@
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|
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|
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|
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|
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|
|
|
|
|
| 1 |
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{
|
| 2 |
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"experiment": "exp1",
|
| 3 |
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"split": "target_val",
|
| 4 |
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|
| 5 |
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|
| 6 |
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"name": "exp1",
|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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| 17 |
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|
| 18 |
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|
| 19 |
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| 20 |
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|
| 21 |
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"seed": 0,
|
| 22 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/shadow/membership_matrix.npz"
|
| 23 |
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},
|
| 24 |
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|
| 25 |
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|
| 26 |
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"seed": 1,
|
| 27 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_train/membership_matrix.npz"
|
| 28 |
+
},
|
| 29 |
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"target_val": {
|
| 30 |
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|
| 31 |
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"seed": 2,
|
| 32 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_val/membership_matrix.npz"
|
| 33 |
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},
|
| 34 |
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"target_test": {
|
| 35 |
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|
| 36 |
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"seed": 3,
|
| 37 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_test/membership_matrix.npz"
|
| 38 |
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}
|
| 39 |
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}
|
| 40 |
+
}
|
checkpoints/target_val/model_0187/metrics.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
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|
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|
| 1 |
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{
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| 2 |
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|
| 8 |
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|
| 9 |
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|
checkpoints/target_val/model_0193/config.json
ADDED
|
@@ -0,0 +1,40 @@
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|
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|
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|
|
|
|
|
|
|
|
|
|
| 1 |
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{
|
| 2 |
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"experiment": "exp1",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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| 7 |
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| 8 |
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| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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|
| 21 |
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"seed": 0,
|
| 22 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/shadow/membership_matrix.npz"
|
| 23 |
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},
|
| 24 |
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|
| 25 |
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|
| 26 |
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"seed": 1,
|
| 27 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_train/membership_matrix.npz"
|
| 28 |
+
},
|
| 29 |
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"target_val": {
|
| 30 |
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"num_models": 256,
|
| 31 |
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"seed": 2,
|
| 32 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_val/membership_matrix.npz"
|
| 33 |
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},
|
| 34 |
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"target_test": {
|
| 35 |
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|
| 36 |
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"seed": 3,
|
| 37 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_test/membership_matrix.npz"
|
| 38 |
+
}
|
| 39 |
+
}
|
| 40 |
+
}
|
checkpoints/target_val/model_0193/metrics.json
ADDED
|
@@ -0,0 +1,9 @@
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|
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|
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|
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|
| 1 |
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{
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|
| 8 |
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|
| 9 |
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|
checkpoints/target_val/model_0238/config.json
ADDED
|
@@ -0,0 +1,40 @@
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|
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|
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|
|
|
|
|
|
|
|
|
|
| 1 |
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{
|
| 2 |
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"experiment": "exp1",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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|
| 21 |
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"seed": 0,
|
| 22 |
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"membership_matrix_path": "checkpoints/mia_experiment/exp1/shadow/membership_matrix.npz"
|
| 23 |
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},
|
| 24 |
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|
| 25 |
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"num_models": 256,
|
| 26 |
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"seed": 1,
|
| 27 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_train/membership_matrix.npz"
|
| 28 |
+
},
|
| 29 |
+
"target_val": {
|
| 30 |
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"num_models": 256,
|
| 31 |
+
"seed": 2,
|
| 32 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_val/membership_matrix.npz"
|
| 33 |
+
},
|
| 34 |
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"target_test": {
|
| 35 |
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"num_models": 256,
|
| 36 |
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"seed": 3,
|
| 37 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_test/membership_matrix.npz"
|
| 38 |
+
}
|
| 39 |
+
}
|
| 40 |
+
}
|
checkpoints/target_val/model_0238/metrics.json
ADDED
|
@@ -0,0 +1,9 @@
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|
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|
| 1 |
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{
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|
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|
| 9 |
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|
checkpoints/target_val/model_0244/config.json
ADDED
|
@@ -0,0 +1,40 @@
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|
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|
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|
|
|
|
| 1 |
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{
|
| 2 |
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"experiment": "exp1",
|
| 3 |
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|
| 4 |
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| 5 |
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|
| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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| 14 |
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+
"shadow": {
|
| 20 |
+
"num_models": 1024,
|
| 21 |
+
"seed": 0,
|
| 22 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/shadow/membership_matrix.npz"
|
| 23 |
+
},
|
| 24 |
+
"target_train": {
|
| 25 |
+
"num_models": 256,
|
| 26 |
+
"seed": 1,
|
| 27 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_train/membership_matrix.npz"
|
| 28 |
+
},
|
| 29 |
+
"target_val": {
|
| 30 |
+
"num_models": 256,
|
| 31 |
+
"seed": 2,
|
| 32 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_val/membership_matrix.npz"
|
| 33 |
+
},
|
| 34 |
+
"target_test": {
|
| 35 |
+
"num_models": 256,
|
| 36 |
+
"seed": 3,
|
| 37 |
+
"membership_matrix_path": "checkpoints/mia_experiment/exp1/target_test/membership_matrix.npz"
|
| 38 |
+
}
|
| 39 |
+
}
|
| 40 |
+
}
|
checkpoints/target_val/model_0244/metrics.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"train_loss": 0.7492618275185426,
|
| 3 |
+
"train_acc": 90.68196614583333,
|
| 4 |
+
"test_loss": 0.5150810480117798,
|
| 5 |
+
"test_acc": 84.91,
|
| 6 |
+
"best_acc": 84.91,
|
| 7 |
+
"training_time": 292.861811876297,
|
| 8 |
+
"num_train_samples": 24918
|
| 9 |
+
}
|