| { |
| "total_papers": 16806, |
| "normalization_columns_used": { |
| "setup_requirements": "setup_requirements_norm_json", |
| "target_models": "target_models_norm_json", |
| "datasets_benchmarks": "datasets_benchmarks_norm_json", |
| "baselines_compared": "baselines_compared_norm_json", |
| "evaluation_metrics": "evaluation_metrics_norm_json", |
| "runtime_cost": "runtime_cost_norm", |
| "human_eval_required": "human_eval_required_norm", |
| "closed_model_dependency": "closed_model_dependency_norm", |
| "deployment_readiness": "deployment_readiness_norm", |
| "replication_difficulty": "replication_difficulty_norm", |
| "extraction_confidence": "extraction_confidence" |
| }, |
| "year_range": { |
| "min": 1970, |
| "max": 2025 |
| }, |
| "top_years": [ |
| { |
| "value": 2025, |
| "count": 5496 |
| }, |
| { |
| "value": 2024, |
| "count": 2366 |
| }, |
| { |
| "value": 2021, |
| "count": 1932 |
| }, |
| { |
| "value": 2023, |
| "count": 1902 |
| }, |
| { |
| "value": 2020, |
| "count": 1799 |
| }, |
| { |
| "value": 2022, |
| "count": 1398 |
| }, |
| { |
| "value": 2019, |
| "count": 819 |
| }, |
| { |
| "value": 2018, |
| "count": 420 |
| }, |
| { |
| "value": 2017, |
| "count": 237 |
| }, |
| { |
| "value": 2016, |
| "count": 136 |
| }, |
| { |
| "value": 2015, |
| "count": 73 |
| }, |
| { |
| "value": 2013, |
| "count": 46 |
| }, |
| { |
| "value": 2014, |
| "count": 45 |
| }, |
| { |
| "value": 2012, |
| "count": 30 |
| }, |
| { |
| "value": 2011, |
| "count": 27 |
| } |
| ], |
| "scalar_distributions": { |
| "runtime_cost": [ |
| { |
| "value": "moderate", |
| "count": 10005 |
| }, |
| { |
| "value": "None specified", |
| "count": 4287 |
| }, |
| { |
| "value": "high", |
| "count": 1703 |
| }, |
| { |
| "value": "low", |
| "count": 796 |
| }, |
| { |
| "value": "very_high", |
| "count": 15 |
| } |
| ], |
| "human_eval_required": [ |
| { |
| "value": "no", |
| "count": 12716 |
| }, |
| { |
| "value": "yes", |
| "count": 2959 |
| }, |
| { |
| "value": "None specified", |
| "count": 1131 |
| } |
| ], |
| "closed_model_dependency": [ |
| { |
| "value": "no", |
| "count": 12732 |
| }, |
| { |
| "value": "yes", |
| "count": 3818 |
| }, |
| { |
| "value": "None specified", |
| "count": 256 |
| } |
| ], |
| "deployment_readiness": [ |
| { |
| "value": "research_prototype", |
| "count": 8482 |
| }, |
| { |
| "value": "conceptual", |
| "count": 4165 |
| }, |
| { |
| "value": "replicable_research", |
| "count": 4123 |
| }, |
| { |
| "value": "deployed", |
| "count": 25 |
| }, |
| { |
| "value": "near_deployment", |
| "count": 10 |
| }, |
| { |
| "value": "None specified", |
| "count": 1 |
| } |
| ], |
| "replication_difficulty": [ |
| { |
| "value": "medium", |
| "count": 11382 |
| }, |
| { |
| "value": "low", |
| "count": 3232 |
| }, |
| { |
| "value": "high", |
| "count": 2150 |
| }, |
| { |
| "value": "very_high", |
| "count": 26 |
| }, |
| { |
| "value": "None specified", |
| "count": 16 |
| } |
| ], |
| "extraction_confidence": [ |
| { |
| "value": "None specified", |
| "count": 16806 |
| } |
| ] |
| }, |
| "artifact_availability": { |
| "code": [ |
| { |
| "value": "None specified", |
| "count": 10430 |
| }, |
| { |
| "value": "available", |
| "count": 3539 |
| }, |
| { |
| "value": "mentioned_no_link", |
| "count": 2837 |
| } |
| ], |
| "data": [ |
| { |
| "value": "None specified", |
| "count": 8817 |
| }, |
| { |
| "value": "mentioned_no_link", |
| "count": 4450 |
| }, |
| { |
| "value": "available", |
| "count": 3539 |
| } |
| ], |
| "checkpoints": [ |
| { |
| "value": "None specified", |
| "count": 16007 |
| }, |
| { |
| "value": "mentioned_no_link", |
| "count": 590 |
| }, |
| { |
| "value": "available", |
| "count": 209 |
| } |
| ] |
| }, |
| "top_safety_areas": [ |
| { |
| "value": "other_ai_safety", |
| "count": 11784 |
| }, |
| { |
| "value": "adversarial_robustness", |
| "count": 5930 |
| }, |
| { |
| "value": "model_security", |
| "count": 5525 |
| }, |
| { |
| "value": "harmful_content_eval", |
| "count": 3653 |
| }, |
| { |
| "value": "governance_adjacent", |
| "count": 2505 |
| }, |
| { |
| "value": "fairness_bias", |
| "count": 1567 |
| }, |
| { |
| "value": "alignment", |
| "count": 1542 |
| }, |
| { |
| "value": "interpretability_safety", |
| "count": 1494 |
| }, |
| { |
| "value": "privacy_inference_attacks", |
| "count": 1337 |
| }, |
| { |
| "value": "red_teaming", |
| "count": 813 |
| }, |
| { |
| "value": "prompt_injection_jailbreaks", |
| "count": 667 |
| }, |
| { |
| "value": "backdoors_poisoning", |
| "count": 630 |
| }, |
| { |
| "value": "agent_safety", |
| "count": 562 |
| }, |
| { |
| "value": "mech_interp", |
| "count": 305 |
| }, |
| { |
| "value": "safe_rl", |
| "count": 217 |
| } |
| ], |
| "top_attack_or_defense": [ |
| { |
| "value": "evaluation", |
| "count": 15280 |
| }, |
| { |
| "value": "defense", |
| "count": 7492 |
| }, |
| { |
| "value": "theory", |
| "count": 5084 |
| }, |
| { |
| "value": "governance", |
| "count": 2386 |
| }, |
| { |
| "value": "attack", |
| "count": 1821 |
| } |
| ], |
| "top_threat_models": [ |
| { |
| "value": "black_box", |
| "count": 9240 |
| }, |
| { |
| "value": "inference_time", |
| "count": 7643 |
| }, |
| { |
| "value": "white_box", |
| "count": 5929 |
| }, |
| { |
| "value": "training_time", |
| "count": 3778 |
| }, |
| { |
| "value": "human_in_the_loop", |
| "count": 3689 |
| }, |
| { |
| "value": "api_only", |
| "count": 2505 |
| }, |
| { |
| "value": "retrieval_enabled", |
| "count": 1575 |
| }, |
| { |
| "value": "multimodal", |
| "count": 787 |
| }, |
| { |
| "value": "agentic", |
| "count": 756 |
| }, |
| { |
| "value": "gray_box", |
| "count": 680 |
| }, |
| { |
| "value": "physical_robotic", |
| "count": 323 |
| } |
| ], |
| "top_target_systems": [ |
| { |
| "value": "other", |
| "count": 8684 |
| }, |
| { |
| "value": "llm", |
| "count": 6079 |
| }, |
| { |
| "value": "classifier", |
| "count": 5004 |
| }, |
| { |
| "value": "multimodal_model", |
| "count": 2166 |
| }, |
| { |
| "value": "agentic_system", |
| "count": 1838 |
| }, |
| { |
| "value": "autonomous_system", |
| "count": 752 |
| }, |
| { |
| "value": "vlm", |
| "count": 748 |
| }, |
| { |
| "value": "rl_agent", |
| "count": 573 |
| }, |
| { |
| "value": "code_model", |
| "count": 211 |
| }, |
| { |
| "value": "recommender", |
| "count": 152 |
| }, |
| { |
| "value": "speech_model", |
| "count": 136 |
| }, |
| { |
| "value": "diffusion_model", |
| "count": 102 |
| } |
| ], |
| "top_harm_types": [ |
| { |
| "value": "reliability_failure", |
| "count": 10493 |
| }, |
| { |
| "value": "other", |
| "count": 5628 |
| }, |
| { |
| "value": "content_harm", |
| "count": 3537 |
| }, |
| { |
| "value": "privacy_leak", |
| "count": 2521 |
| }, |
| { |
| "value": "bias_unfairness", |
| "count": 2200 |
| }, |
| { |
| "value": "cyber_abuse", |
| "count": 1945 |
| }, |
| { |
| "value": "misuse_abuse", |
| "count": 1754 |
| }, |
| { |
| "value": "unsafe_autonomy", |
| "count": 1660 |
| }, |
| { |
| "value": "prompt_compromise", |
| "count": 1490 |
| }, |
| { |
| "value": "data_poisoning", |
| "count": 975 |
| }, |
| { |
| "value": "deception", |
| "count": 780 |
| }, |
| { |
| "value": "reward_hacking", |
| "count": 35 |
| } |
| ], |
| "top_target_models": [ |
| { |
| "value": "GPT-4o", |
| "count": 792 |
| }, |
| { |
| "value": "BERT", |
| "count": 742 |
| }, |
| { |
| "value": "SVM", |
| "count": 718 |
| }, |
| { |
| "value": "Random Forest", |
| "count": 642 |
| }, |
| { |
| "value": "GPT-4", |
| "count": 598 |
| }, |
| { |
| "value": "CNN", |
| "count": 509 |
| }, |
| { |
| "value": "LSTM", |
| "count": 452 |
| }, |
| { |
| "value": "Logistic Regression", |
| "count": 389 |
| }, |
| { |
| "value": "ChatGPT", |
| "count": 387 |
| }, |
| { |
| "value": "Decision Tree", |
| "count": 341 |
| }, |
| { |
| "value": "Naive Bayes", |
| "count": 330 |
| }, |
| { |
| "value": "KNN", |
| "count": 320 |
| }, |
| { |
| "value": "RoBERTa", |
| "count": 312 |
| }, |
| { |
| "value": "ResNet-50", |
| "count": 305 |
| }, |
| { |
| "value": "GPT-3.5", |
| "count": 292 |
| }, |
| { |
| "value": "GPT-4o-mini", |
| "count": 266 |
| }, |
| { |
| "value": "XGBoost", |
| "count": 242 |
| }, |
| { |
| "value": "DeepSeek-R1", |
| "count": 242 |
| }, |
| { |
| "value": "ResNet-18", |
| "count": 234 |
| }, |
| { |
| "value": "Llama-3.1-8B-Instruct", |
| "count": 230 |
| }, |
| { |
| "value": "VGG-16", |
| "count": 216 |
| }, |
| { |
| "value": "Llama-3.1-8B", |
| "count": 201 |
| }, |
| { |
| "value": "GPT-3.5-turbo", |
| "count": 187 |
| }, |
| { |
| "value": "MLP", |
| "count": 184 |
| }, |
| { |
| "value": "DeepSeek-V3", |
| "count": 171 |
| }, |
| { |
| "value": "GPT-2", |
| "count": 169 |
| }, |
| { |
| "value": "Qwen2.5-7B-Instruct", |
| "count": 166 |
| }, |
| { |
| "value": "Mistral-7B", |
| "count": 164 |
| }, |
| { |
| "value": "BiLSTM", |
| "count": 159 |
| }, |
| { |
| "value": "GPT-3", |
| "count": 152 |
| } |
| ], |
| "top_datasets_benchmarks": [ |
| { |
| "value": "CIFAR-10", |
| "count": 607 |
| }, |
| { |
| "value": "MNIST", |
| "count": 547 |
| }, |
| { |
| "value": "NSL-KDD", |
| "count": 347 |
| }, |
| { |
| "value": "GSM8K", |
| "count": 321 |
| }, |
| { |
| "value": "ImageNet", |
| "count": 308 |
| }, |
| { |
| "value": "CICIDS2017", |
| "count": 245 |
| }, |
| { |
| "value": "UNSW-NB15", |
| "count": 235 |
| }, |
| { |
| "value": "CIFAR-100", |
| "count": 226 |
| }, |
| { |
| "value": "MMLU", |
| "count": 221 |
| }, |
| { |
| "value": "MATH-500", |
| "count": 176 |
| }, |
| { |
| "value": "Fashion-MNIST", |
| "count": 152 |
| }, |
| { |
| "value": "MATH", |
| "count": 141 |
| }, |
| { |
| "value": "CelebA", |
| "count": 134 |
| }, |
| { |
| "value": "AdvBench", |
| "count": 124 |
| }, |
| { |
| "value": "SST-2", |
| "count": 117 |
| }, |
| { |
| "value": "Adult", |
| "count": 115 |
| }, |
| { |
| "value": "IMDB", |
| "count": 113 |
| }, |
| { |
| "value": "SVHN", |
| "count": 102 |
| }, |
| { |
| "value": "TruthfulQA", |
| "count": 99 |
| }, |
| { |
| "value": "Drebin", |
| "count": 97 |
| }, |
| { |
| "value": "TriviaQA", |
| "count": 95 |
| }, |
| { |
| "value": "HumanEval", |
| "count": 88 |
| }, |
| { |
| "value": "Twitter", |
| "count": 87 |
| }, |
| { |
| "value": "Bot-IoT", |
| "count": 87 |
| }, |
| { |
| "value": "MT-Bench", |
| "count": 84 |
| }, |
| { |
| "value": "PubMed", |
| "count": 82 |
| }, |
| { |
| "value": "AG News", |
| "count": 82 |
| }, |
| { |
| "value": "AIME 2024", |
| "count": 80 |
| }, |
| { |
| "value": "HotpotQA", |
| "count": 79 |
| }, |
| { |
| "value": "FaceForensics++", |
| "count": 78 |
| } |
| ], |
| "top_baselines_compared": [ |
| { |
| "value": "SVM", |
| "count": 900 |
| }, |
| { |
| "value": "Random Forest", |
| "count": 784 |
| }, |
| { |
| "value": "Logistic Regression", |
| "count": 523 |
| }, |
| { |
| "value": "KNN", |
| "count": 501 |
| }, |
| { |
| "value": "Naive Bayes", |
| "count": 493 |
| }, |
| { |
| "value": "Decision Tree", |
| "count": 482 |
| }, |
| { |
| "value": "CNN", |
| "count": 388 |
| }, |
| { |
| "value": "LSTM", |
| "count": 361 |
| }, |
| { |
| "value": "GPT-4o", |
| "count": 338 |
| }, |
| { |
| "value": "XGBoost", |
| "count": 244 |
| }, |
| { |
| "value": "BERT", |
| "count": 219 |
| }, |
| { |
| "value": "MLP", |
| "count": 213 |
| }, |
| { |
| "value": "AdaBoost", |
| "count": 163 |
| }, |
| { |
| "value": "FedAvg", |
| "count": 154 |
| }, |
| { |
| "value": "RF", |
| "count": 153 |
| }, |
| { |
| "value": "BiLSTM", |
| "count": 142 |
| }, |
| { |
| "value": "DPO", |
| "count": 136 |
| }, |
| { |
| "value": "RNN", |
| "count": 134 |
| }, |
| { |
| "value": "DNN", |
| "count": 133 |
| }, |
| { |
| "value": "SFT", |
| "count": 130 |
| }, |
| { |
| "value": "GRU", |
| "count": 118 |
| }, |
| { |
| "value": "GPT-4", |
| "count": 118 |
| }, |
| { |
| "value": "RoBERTa", |
| "count": 114 |
| }, |
| { |
| "value": "GPT-3.5", |
| "count": 113 |
| }, |
| { |
| "value": "ANN", |
| "count": 112 |
| }, |
| { |
| "value": "DT", |
| "count": 96 |
| }, |
| { |
| "value": "LR", |
| "count": 94 |
| }, |
| { |
| "value": "DeepSeek-R1", |
| "count": 86 |
| }, |
| { |
| "value": "FGSM", |
| "count": 85 |
| }, |
| { |
| "value": "LIME", |
| "count": 83 |
| } |
| ], |
| "top_evaluation_metrics": [ |
| { |
| "value": "Accuracy", |
| "count": 6492 |
| }, |
| { |
| "value": "F1", |
| "count": 3838 |
| }, |
| { |
| "value": "Precision", |
| "count": 3058 |
| }, |
| { |
| "value": "Recall", |
| "count": 2945 |
| }, |
| { |
| "value": "AUC", |
| "count": 1335 |
| }, |
| { |
| "value": "FPR", |
| "count": 905 |
| }, |
| { |
| "value": "Attack Success Rate", |
| "count": 580 |
| }, |
| { |
| "value": "TPR", |
| "count": 458 |
| }, |
| { |
| "value": "Macro-F1", |
| "count": 389 |
| }, |
| { |
| "value": "Specificity", |
| "count": 361 |
| }, |
| { |
| "value": "Detection Rate", |
| "count": 334 |
| }, |
| { |
| "value": "Sensitivity", |
| "count": 333 |
| }, |
| { |
| "value": "FNR", |
| "count": 324 |
| }, |
| { |
| "value": "Success Rate", |
| "count": 271 |
| }, |
| { |
| "value": "AUROC", |
| "count": 229 |
| }, |
| { |
| "value": "BLEU", |
| "count": 216 |
| }, |
| { |
| "value": "ROC", |
| "count": 211 |
| }, |
| { |
| "value": "MSE", |
| "count": 208 |
| }, |
| { |
| "value": "Cohen's Kappa", |
| "count": 208 |
| }, |
| { |
| "value": "RMSE", |
| "count": 197 |
| }, |
| { |
| "value": "Pearson correlation", |
| "count": 173 |
| }, |
| { |
| "value": "SSIM", |
| "count": 170 |
| }, |
| { |
| "value": "Perplexity", |
| "count": 167 |
| }, |
| { |
| "value": "ROUGE-L", |
| "count": 167 |
| }, |
| { |
| "value": "False Alarm Rate", |
| "count": 166 |
| }, |
| { |
| "value": "PSNR", |
| "count": 161 |
| }, |
| { |
| "value": "EER", |
| "count": 160 |
| }, |
| { |
| "value": "Cosine Similarity", |
| "count": 157 |
| }, |
| { |
| "value": "MAE", |
| "count": 153 |
| }, |
| { |
| "value": "Pass@1", |
| "count": 150 |
| } |
| ], |
| "top_setup_requirements": { |
| "models": [ |
| { |
| "value": "Random Forest", |
| "count": 945 |
| }, |
| { |
| "value": "SVM", |
| "count": 939 |
| }, |
| { |
| "value": "GPT-4o", |
| "count": 912 |
| }, |
| { |
| "value": "CNN", |
| "count": 678 |
| }, |
| { |
| "value": "BERT", |
| "count": 677 |
| }, |
| { |
| "value": "LSTM", |
| "count": 648 |
| }, |
| { |
| "value": "Logistic Regression", |
| "count": 629 |
| }, |
| { |
| "value": "GPT-4", |
| "count": 624 |
| }, |
| { |
| "value": "Decision Tree", |
| "count": 476 |
| }, |
| { |
| "value": "KNN", |
| "count": 425 |
| }, |
| { |
| "value": "Naive Bayes", |
| "count": 423 |
| }, |
| { |
| "value": "ResNet-50", |
| "count": 399 |
| }, |
| { |
| "value": "GPT-4o-mini", |
| "count": 350 |
| }, |
| { |
| "value": "ChatGPT", |
| "count": 325 |
| }, |
| { |
| "value": "XGBoost", |
| "count": 319 |
| }, |
| { |
| "value": "ResNet-18", |
| "count": 312 |
| }, |
| { |
| "value": "RoBERTa", |
| "count": 290 |
| }, |
| { |
| "value": "GPT-3.5", |
| "count": 280 |
| }, |
| { |
| "value": "Llama-3.1-8B-Instruct", |
| "count": 276 |
| }, |
| { |
| "value": "VGG-16", |
| "count": 269 |
| } |
| ], |
| "datasets": [ |
| { |
| "value": "CIFAR-10", |
| "count": 613 |
| }, |
| { |
| "value": "MNIST", |
| "count": 549 |
| }, |
| { |
| "value": "ImageNet", |
| "count": 324 |
| }, |
| { |
| "value": "NSL-KDD", |
| "count": 322 |
| }, |
| { |
| "value": "GSM8K", |
| "count": 297 |
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