Upload paper_metadata_summary_normalized.json

paper_metadata_summary_normalized.json

@@ -1,5 +1,5 @@
 {
-  "total_papers": 17110,
+  "total_papers": 16806,
   "normalization_columns_used": {
     "setup_requirements": "setup_requirements_norm_json",
     "target_models": "target_models_norm_json",
@@ -14,53 +14,53 @@
     "extraction_confidence": "extraction_confidence_norm"
   },
   "year_range": {
-    "min": 1896,
+    "min": 1970,
     "max": 2025
   },
   "top_years": [
     {
       "value": 2025,
-      "count": 5514
+      "count": 5496
     },
     {
       "value": 2024,
-      "count": 2405
+      "count": 2366
     },
     {
       "value": 2021,
-      "count": 1967
+      "count": 1932
     },
     {
       "value": 2023,
-      "count": 1940
+      "count": 1902
     },
     {
       "value": 2020,
-      "count": 1821
+      "count": 1799
     },
     {
       "value": 2022,
-      "count": 1518
+      "count": 1398
     },
     {
       "value": 2019,
-      "count": 832
+      "count": 819
     },
     {
       "value": 2018,
-      "count": 424
+      "count": 420
     },
     {
       "value": 2017,
-      "count": 239
+      "count": 237
     },
     {
       "value": 2016,
-      "count": 142
+      "count": 136
     },
     {
       "value": 2015,
-      "count": 74
+      "count": 73
     },
     {
       "value": 2013,
@@ -68,34 +68,34 @@
     },
     {
       "value": 2014,
-      "count": 46
+      "count": 45
     },
     {
       "value": 2012,
-      "count": 31
+      "count": 30
     },
     {
       "value": 2011,
-      "count": 28
+      "count": 27
     }
   ],
   "scalar_distributions": {
     "runtime_cost": [
       {
         "value": "None specified",
-        "count": 9682
+        "count": 9470
       },
       {
         "value": "moderate",
-        "count": 5517
+        "count": 5449
       },
       {
         "value": "high",
-        "count": 1262
+        "count": 1250
       },
       {
         "value": "low",
-        "count": 634
+        "count": 622
       },
       {
         "value": "very_high",
@@ -105,43 +105,43 @@
     "human_eval_required": [
       {
         "value": "no",
-        "count": 13513
+        "count": 13295
       },
       {
         "value": "yes",
-        "count": 1874
+        "count": 1848
       },
       {
         "value": "None specified",
-        "count": 1723
+        "count": 1663
       }
     ],
     "closed_model_dependency": [
       {
         "value": "no",
-        "count": 13841
+        "count": 13582
       },
       {
         "value": "yes",
-        "count": 2719
+        "count": 2688
       },
       {
         "value": "None specified",
-        "count": 550
+        "count": 536
       }
     ],
     "deployment_readiness": [
       {
         "value": "research_prototype",
-        "count": 8959
+        "count": 8833
       },
       {
         "value": "conceptual",
-        "count": 4675
+        "count": 4538
       },
       {
         "value": "replicable_research",
-        "count": 3438
+        "count": 3397
       },
       {
         "value": "deployed",
@@ -159,19 +159,19 @@
     "replication_difficulty": [
       {
         "value": "medium",
-        "count": 12678
+        "count": 12495
       },
       {
         "value": "low",
-        "count": 3433
+        "count": 3325
       },
       {
         "value": "high",
-        "count": 851
+        "count": 845
       },
       {
         "value": "None specified",
-        "count": 136
+        "count": 129
       },
       {
         "value": "very_high",
@@ -181,11 +181,11 @@
     "extraction_confidence": [
       {
         "value": "high",
-        "count": 16993
+        "count": 16700
       },
       {
         "value": "medium",
-        "count": 117
+        "count": 106
       }
     ]
   },
@@ -193,35 +193,35 @@
     "code": [
       {
         "value": "None specified",
-        "count": 13080
+        "count": 12808
       },
       {
         "value": "available",
-        "count": 2492
+        "count": 2482
       },
       {
         "value": "mentioned_no_link",
-        "count": 1538
+        "count": 1516
       }
     ],
     "data": [
       {
         "value": "None specified",
-        "count": 13682
+        "count": 13419
       },
       {
         "value": "mentioned_no_link",
-        "count": 1737
+        "count": 1711
       },
       {
         "value": "available",
-        "count": 1691
+        "count": 1676
       }
     ],
     "checkpoints": [
       {
         "value": "None specified",
-        "count": 16912
+        "count": 16608
       },
       {
         "value": "available",
@@ -236,55 +236,55 @@
   "top_safety_areas": [
     {
       "value": "other_ai_safety",
-      "count": 10650
+      "count": 10454
     },
     {
       "value": "adversarial_robustness",
-      "count": 5401
+      "count": 5299
     },
     {
       "value": "model_security",
-      "count": 3493
+      "count": 3438
     },
     {
       "value": "harmful_content_eval",
-      "count": 2583
+      "count": 2556
     },
     {
       "value": "governance_adjacent",
-      "count": 2521
+      "count": 2447
     },
     {
       "value": "fairness_bias",
-      "count": 1438
+      "count": 1417
     },
     {
       "value": "privacy_inference_attacks",
-      "count": 1340
+      "count": 1311
     },
     {
       "value": "interpretability_safety",
-      "count": 1195
+      "count": 1172
     },
     {
       "value": "alignment",
-      "count": 931
+      "count": 917
     },
     {
       "value": "backdoors_poisoning",
-      "count": 464
+      "count": 456
     },
     {
       "value": "prompt_injection_jailbreaks",
-      "count": 424
+      "count": 423
     },
     {
       "value": "agent_safety",
-      "count": 420
+      "count": 418
     },
     {
       "value": "red_teaming",
-      "count": 411
+      "count": 406
     },
     {
       "value": "mech_interp",
@@ -292,122 +292,122 @@
     },
     {
       "value": "safe_rl",
-      "count": 133
+      "count": 132
     }
   ],
   "top_attack_or_defense": [
     {
       "value": "evaluation",
-      "count": 14888
+      "count": 14662
     },
     {
       "value": "defense",
-      "count": 6725
+      "count": 6626
     },
     {
       "value": "theory",
-      "count": 4201
+      "count": 4130
     },
     {
       "value": "governance",
-      "count": 2373
+      "count": 2291
     },
     {
       "value": "attack",
-      "count": 1654
+      "count": 1615
     }
   ],
   "top_threat_models": [
     {
       "value": "black_box",
-      "count": 7750
+      "count": 7647
     },
     {
       "value": "inference_time",
-      "count": 5421
+      "count": 5328
     },
     {
       "value": "white_box",
-      "count": 4212
+      "count": 4132
     },
     {
       "value": "training_time",
-      "count": 3015
+      "count": 2961
     },
     {
       "value": "human_in_the_loop",
-      "count": 2326
+      "count": 2284
     },
     {
       "value": "api_only",
-      "count": 1322
+      "count": 1307
     },
     {
       "value": "multimodal",
-      "count": 926
+      "count": 912
     },
     {
       "value": "agentic",
-      "count": 726
+      "count": 720
     },
     {
       "value": "retrieval_enabled",
-      "count": 639
+      "count": 634
     },
     {
       "value": "physical_robotic",
-      "count": 522
+      "count": 511
     },
     {
       "value": "gray_box",
-      "count": 188
+      "count": 184
     }
   ],
   "top_target_systems": [
     {
       "value": "other",
-      "count": 7410
+      "count": 7255
     },
     {
       "value": "classifier",
-      "count": 5021
+      "count": 4904
     },
     {
       "value": "llm",
-      "count": 4526
+      "count": 4485
     },
     {
       "value": "multimodal_model",
-      "count": 1298
+      "count": 1288
     },
     {
       "value": "agentic_system",
-      "count": 1159
+      "count": 1150
     },
     {
       "value": "autonomous_system",
-      "count": 956
+      "count": 932
     },
     {
       "value": "vlm",
-      "count": 564
+      "count": 559
     },
     {
       "value": "rl_agent",
-      "count": 388
-    },
-    {
-      "value": "speech_model",
-      "count": 164
+      "count": 380
     },
     {
       "value": "code_model",
       "count": 162
     },
     {
-      "value": "recommender",
+      "value": "speech_model",
       "count": 160
     },
+    {
+      "value": "recommender",
+      "count": 157
+    },
     {
       "value": "diffusion_model",
       "count": 96
@@ -416,47 +416,47 @@
   "top_harm_types": [
     {
       "value": "reliability_failure",
-      "count": 8040
+      "count": 7910
     },
     {
       "value": "other",
-      "count": 5449
+      "count": 5327
     },
     {
       "value": "content_harm",
-      "count": 2878
+      "count": 2843
     },
     {
       "value": "privacy_leak",
-      "count": 2152
+      "count": 2099
     },
     {
       "value": "bias_unfairness",
-      "count": 2043
+      "count": 2003
     },
     {
       "value": "misuse_abuse",
-      "count": 1471
+      "count": 1449
     },
     {
       "value": "unsafe_autonomy",
-      "count": 1448
+      "count": 1423
     },
     {
       "value": "cyber_abuse",
-      "count": 1372
+      "count": 1358
     },
     {
       "value": "data_poisoning",
-      "count": 816
+      "count": 796
     },
     {
-      "value": "deception",
-      "count": 710
+      "value": "prompt_compromise",
+      "count": 694
     },
     {
-      "value": "prompt_compromise",
-      "count": 699
+      "value": "deception",
+      "count": 692
     },
     {
       "value": "reward_hacking",
@@ -466,59 +466,59 @@
   "top_target_models": [
     {
       "value": "BERT",
-      "count": 825
+      "count": 813
     },
     {
       "value": "SVM",
-      "count": 676
+      "count": 666
     },
     {
       "value": "Random Forest",
-      "count": 641
+      "count": 633
     },
     {
-      "value": "GPT-4",
-      "count": 627
+      "value": "GPT-4o",
+      "count": 623
     },
     {
-      "value": "GPT-4o",
-      "count": 627
+      "value": "GPT-4",
+      "count": 620
     },
     {
       "value": "CNN",
-      "count": 479
+      "count": 466
     },
     {
       "value": "LSTM",
-      "count": 430
+      "count": 423
     },
     {
       "value": "ChatGPT",
-      "count": 389
+      "count": 376
     },
     {
       "value": "Logistic Regression",
-      "count": 336
-    },
-    {
-      "value": "RoBERTa",
-      "count": 334
+      "count": 331
     },
     {
       "value": "Decision Tree",
-      "count": 333
+      "count": 328
     },
     {
-      "value": "Naive Bayes",
-      "count": 309
+      "value": "RoBERTa",
+      "count": 328
     },
     {
-      "value": "ResNet-50",
+      "value": "Naive Bayes",
       "count": 304
     },
     {
       "value": "GPT-3.5",
-      "count": 297
+      "count": 296
+    },
+    {
+      "value": "ResNet-50",
+      "count": 293
     },
     {
       "value": "KNN",
@@ -526,7 +526,7 @@
     },
     {
       "value": "XGBoost",
-      "count": 237
+      "count": 235
     },
     {
       "value": "DeepSeek-R1",
@@ -534,73 +534,73 @@
     },
     {
       "value": "ResNet-18",
-      "count": 214
+      "count": 208
     },
     {
       "value": "VGG-16",
-      "count": 212
+      "count": 200
     },
     {
       "value": "Llama",
-      "count": 198
+      "count": 196
     },
     {
       "value": "GPT-4o-mini",
-      "count": 196
+      "count": 195
     },
     {
       "value": "Llama-3.1-8B",
       "count": 188
     },
     {
-      "value": "GPT-2",
+      "value": "Llama-3.1-8B-Instruct",
       "count": 160
     },
     {
-      "value": "Llama-3.1-8B-Instruct",
-      "count": 160
+      "value": "GPT-2",
+      "count": 158
     },
     {
       "value": "GPT-3",
-      "count": 159
+      "count": 157
     },
     {
       "value": "DNN",
-      "count": 151
+      "count": 150
     },
     {
       "value": "Mistral-7B",
       "count": 149
     },
     {
-      "value": "RNN",
-      "count": 144
+      "value": "Llama-3",
+      "count": 141
     },
     {
-      "value": "Llama-3",
-      "count": 142
+      "value": "RNN",
+      "count": 140
     },
     {
       "value": "GPT-3.5-turbo",
-      "count": 139
+      "count": 138
     }
   ],
   "top_datasets_benchmarks": [
     {
       "value": "CIFAR-10",
-      "count": 622
+      "count": 598
     },
     {
       "value": "MNIST",
-      "count": 550
+      "count": 532
     },
     {
       "value": "ImageNet",
-      "count": 341
+      "count": 333
     },
     {
       "value": "NSL-KDD",
-      "count": 332
+      "count": 327
     },
     {
       "value": "GSM8K",
@@ -608,19 +608,19 @@
     },
     {
       "value": "CICIDS2017",
-      "count": 232
+      "count": 229
     },
     {
       "value": "UNSW-NB15",
-      "count": 221
+      "count": 219
     },
     {
       "value": "CIFAR-100",
-      "count": 214
+      "count": 209
     },
     {
       "value": "Fashion-MNIST",
-      "count": 150
+      "count": 147
     },
     {
       "value": "MMLU",
@@ -628,7 +628,7 @@
     },
     {
       "value": "CelebA",
-      "count": 136
+      "count": 130
     },
     {
       "value": "MATH",
@@ -644,11 +644,11 @@
     },
     {
       "value": "Adult",
-      "count": 107
+      "count": 106
     },
     {
       "value": "SVHN",
-      "count": 94
+      "count": 92
     },
     {
       "value": "AdvBench",
@@ -656,20 +656,20 @@
     },
     {
       "value": "SST-2",
-      "count": 90
+      "count": 89
     },
     {
       "value": "Twitter",
-      "count": 87
-    },
-    {
-      "value": "Bot-IoT",
-      "count": 82
+      "count": 86
     },
     {
       "value": "Drebin",
       "count": 81
     },
+    {
+      "value": "Bot-IoT",
+      "count": 80
+    },
     {
       "value": "TriviaQA",
       "count": 79
@@ -679,16 +679,16 @@
       "count": 75
     },
     {
-      "value": "FaceForensics++",
+      "value": "HotpotQA",
       "count": 72
     },
     {
-      "value": "HotpotQA",
-      "count": 72
+      "value": "FaceForensics++",
+      "count": 71
     },
     {
       "value": "COMPAS",
-      "count": 71
+      "count": 70
     },
     {
       "value": "TruthfulQA",
@@ -696,7 +696,7 @@
     },
     {
       "value": "COCO",
-      "count": 65
+      "count": 64
     },
     {
       "value": "SQuAD",
@@ -704,29 +704,29 @@
     },
     {
       "value": "CSE-CIC-IDS2018",
-      "count": 61
+      "count": 60
     }
   ],
   "top_baselines_compared": [
     {
       "value": "SVM",
-      "count": 449
+      "count": 444
     },
     {
       "value": "Random Forest",
-      "count": 408
+      "count": 402
     },
     {
       "value": "Logistic Regression",
-      "count": 275
+      "count": 272
     },
     {
       "value": "Naive Bayes",
-      "count": 228
+      "count": 224
     },
     {
       "value": "Decision Tree",
-      "count": 227
+      "count": 224
     },
     {
       "value": "KNN",
@@ -734,15 +734,15 @@
     },
     {
       "value": "LSTM",
-      "count": 176
+      "count": 173
     },
     {
       "value": "BERT",
-      "count": 162
+      "count": 160
     },
     {
       "value": "CNN",
-      "count": 161
+      "count": 157
     },
     {
       "value": "GPT-4o",
@@ -750,7 +750,7 @@
     },
     {
       "value": "XGBoost",
-      "count": 104
+      "count": 103
     },
     {
       "value": "GPT-4",
@@ -761,11 +761,11 @@
       "count": 75
     },
     {
-      "value": "RoBERTa",
-      "count": 72
+      "value": "BiLSTM",
+      "count": 71
     },
     {
-      "value": "BiLSTM",
+      "value": "RoBERTa",
       "count": 71
     },
     {
@@ -778,11 +778,11 @@
     },
     {
       "value": "RNN",
-      "count": 55
+      "count": 54
     },
     {
       "value": "GRU",
-      "count": 53
+      "count": 52
     },
     {
       "value": "MLP",
@@ -797,20 +797,20 @@
       "count": 45
     },
     {
-      "value": "LIME",
-      "count": 44
+      "value": "DeepSeek-R1",
+      "count": 43
     },
     {
-      "value": "state-of-the-art methods",
-      "count": 43
+      "value": "LIME",
+      "count": 42
     },
     {
-      "value": "DeepSeek-R1",
-      "count": 43
+      "value": "state-of-the-art methods",
+      "count": 41
     },
     {
       "value": "SHAP",
-      "count": 42
+      "count": 41
     },
     {
       "value": "existing methods",
@@ -818,105 +818,105 @@
     },
     {
       "value": "traditional methods",
-      "count": 38
-    },
-    {
-      "value": "FGSM",
-      "count": 34
+      "count": 36
     },
     {
       "value": "Gradient Boosting",
       "count": 33
+    },
+    {
+      "value": "FGSM",
+      "count": 32
     }
   ],
   "top_evaluation_metrics": [
     {
       "value": "Accuracy",
-      "count": 6110
+      "count": 6014
     },
     {
       "value": "F1",
-      "count": 3780
+      "count": 3727
     },
     {
       "value": "Precision",
-      "count": 2308
+      "count": 2268
     },
     {
       "value": "Recall",
-      "count": 2242
+      "count": 2208
     },
     {
       "value": "AUC",
-      "count": 958
+      "count": 942
     },
     {
       "value": "FPR",
-      "count": 642
+      "count": 634
     },
     {
       "value": "Attack Success Rate",
-      "count": 503
+      "count": 493
     },
     {
       "value": "TPR",
-      "count": 343
+      "count": 339
     },
     {
       "value": "Detection Rate",
-      "count": 270
+      "count": 268
     },
     {
       "value": "Macro-F1",
-      "count": 252
+      "count": 250
     },
     {
       "value": "Specificity",
-      "count": 238
+      "count": 232
     },
     {
       "value": "Sensitivity",
-      "count": 235
+      "count": 229
     },
     {
       "value": "BLEU",
-      "count": 222
+      "count": 221
     },
     {
       "value": "Success Rate",
-      "count": 208
+      "count": 204
     },
     {
       "value": "FNR",
-      "count": 199
+      "count": 194
     },
     {
       "value": "AUROC",
-      "count": 180
+      "count": 178
     },
     {
       "value": "EER",
-      "count": 152
+      "count": 143
     },
     {
       "value": "ROUGE",
-      "count": 140
+      "count": 139
     },
     {
       "value": "False Alarm Rate",
-      "count": 130
+      "count": 129
     },
     {
       "value": "SSIM",
-      "count": 125
+      "count": 120
     },
     {
       "value": "MSE",
-      "count": 118
+      "count": 114
     },
     {
       "value": "Perplexity",
-      "count": 112
+      "count": 111
     },
     {
       "value": "ROUGE-L",
@@ -928,7 +928,7 @@
     },
     {
       "value": "PSNR",
-      "count": 108
+      "count": 107
     },
     {
       "value": "Pass@1",
@@ -936,7 +936,7 @@
     },
     {
       "value": "MAE",
-      "count": 95
+      "count": 91
     },
     {
       "value": "MCC",
@@ -948,62 +948,62 @@
     },
     {
       "value": "BERTScore",
-      "count": 72
+      "count": 71
     }
   ],
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@@ -1011,45 +1011,45 @@
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@@ -1057,23 +1057,23 @@
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@@ -1093,11 +1093,11 @@
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@@ -1105,15 +1105,15 @@
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@@ -1135,7 +1135,7 @@
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@@ -1149,10 +1149,6 @@
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@@ -1161,6 +1157,10 @@
         "value": "8 NVIDIA A100 80GB GPUs",
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@@ -1174,12 +1174,12 @@
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@@ -1201,11 +1201,11 @@
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@@ -1213,46 +1213,42 @@
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-        "value": "Federated Learning",
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       {
@@ -1260,43 +1256,47 @@
         "count": 54
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       {
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+        "value": "Federated Learning",
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       {
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