{"id":"W4404985487","doi":"10.48550/arxiv.2411.14565","title":"Privacy-Preserving Video Anomaly Detection: A Survey","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; China Postdoctoral Science Foundation; Mitacs; National Natural Science Foundation of China","keywords":"Anomaly detection; Internet privacy; Computer science; Computer security; Data mining","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004440128,0.0003243091,0.0002840476,0.0003756281,0.0002570859,0.0003592464,0.002808029,0.0003499233,0.00004852068],"category_scores_gemma":[0.00005291532,0.0003826026,0.0002634469,0.001429214,0.00007454887,0.0002722351,0.007812908,0.0008903837,0.0002981702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002565786,"about_ca_system_score_gemma":0.0001855419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001236103,"about_ca_topic_score_gemma":0.0004531826,"domain_scores_codex":[0.9977126,0.0001700805,0.000253008,0.001434328,0.0001019131,0.0003280749],"domain_scores_gemma":[0.997142,0.0001206213,0.0001981708,0.002164334,0.0002077073,0.0001672107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001780066,0.0008293737,0.01727205,0.001472649,0.001297258,0.001465684,0.001360003,0.08536004,0.003072206,0.819409,0.02247535,0.04580843],"study_design_scores_gemma":[0.0001764191,0.0000817152,0.009747539,0.0001211534,0.00007333638,0.00002235239,0.000020829,0.755695,0.003172365,0.2223738,0.007688208,0.0008272454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1491302,0.0001078816,0.8446341,0.000176136,0.0004813458,0.0003595093,0.00002605784,0.001409142,0.003675739],"genre_scores_gemma":[0.993266,0.0001019948,0.002831748,0.00006685575,0.0001035942,0.000009656685,0.000009987482,0.00002896783,0.003581171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8441359,"threshold_uncertainty_score":0.9998626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07994231064327328,"score_gpt":0.2067769634648469,"score_spread":0.1268346528215736,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}