Datasets:
Formats:
json
Languages:
English
Size:
< 1K
Tags:
reinforcement-learning
browser-fingerprinting
adversarial-machine-learning
differential-privacy
transfer-attacks
License:
| { | |
| "timestamp": "2026-03-28T02:55:15.750714", | |
| "training_data": { | |
| "n_users": 50, | |
| "samples_per_user": 20, | |
| "n_features": 9 | |
| }, | |
| "training_summary": { | |
| "num_rounds": 30, | |
| "baseline_attack_accuracy": 0.7480084875294456, | |
| "final_attack_accuracy": 0.2079924235612858, | |
| "accuracy_reduction": 0.5400160639681598, | |
| "final_noise_magnitude": 0.6061090465725671 | |
| }, | |
| "policy_stats": { | |
| "steps_done": 31500, | |
| "epsilon": 0.05, | |
| "buffer_size": 1500, | |
| "avg_loss": 0.033748183585703376, | |
| "min_loss": 0.031844012439250946, | |
| "avg_reward": -0.18108615644858012, | |
| "max_reward": -0.15310354819511224 | |
| }, | |
| "allocation_stats": { | |
| "mean_allocation": [ | |
| 0.10881943488524157, | |
| 0.10966671804661052, | |
| 0.11197363517287058, | |
| 0.11083793403945218, | |
| 0.11224740173022113, | |
| 0.11157460941134545, | |
| 0.1102611414909295, | |
| 0.11539653729543045, | |
| 0.10922258750247048 | |
| ], | |
| "std_allocation": [ | |
| 0.02707231986761999, | |
| 0.023816438238360875, | |
| 0.028405846026562206, | |
| 0.027004999214048746, | |
| 0.02620196115453707, | |
| 0.025808621684249446, | |
| 0.02530591661608039, | |
| 0.027980012807131794, | |
| 0.025029117068108425 | |
| ], | |
| "num_allocations": 30000, | |
| "gini_coefficient": 0.009180034336457588 | |
| }, | |
| "policy_path": "/var/www/aprivacy/results/cano_policy.pt" | |
| } |