{"id":"W4402716126","doi":"10.1109/cvpr52733.2024.01772","title":"Selective, Interpretable and Motion Consistent Privacy Attribute Obfuscation for Action Recognition","year":2024,"lang":"en","type":"article","venue":"","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Obfuscation; Computer science; Action recognition; Motion (physics); Action (physics); Artificial intelligence; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001290306,0.0007711484,0.0005240381,0.0005813881,0.0003962719,0.0009189459,0.0008575035,0.0009180532,0.00196994],"category_scores_gemma":[0.003777737,0.0002420458,0.000713948,0.0005060312,0.001455935,0.001843659,0.001802704,0.001541063,0.001042183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005820778,"about_ca_system_score_gemma":0.0008657739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238387,"about_ca_topic_score_gemma":0.002221582,"domain_scores_codex":[0.998879,0.0002730805,0.00006168662,0.0003348224,0.0002879954,0.0001633712],"domain_scores_gemma":[0.9983394,0.0003071051,0.0001568137,0.001034331,0.0001114324,0.00005083829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007549603,0.0001837859,0.004023325,0.0002189349,0.00009926227,0.000376665,0.0004736383,0.07502869,0.1232522,0.02872204,0.007661438,0.7592052],"study_design_scores_gemma":[0.00004991804,0.0004181959,0.005909319,0.0001091775,0.00009070552,0.001217015,0.0003842404,0.6854967,0.2121028,0.07009177,0.02404797,0.00008221136],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0488847,0.0006828987,0.9433531,0.0004174739,0.00008910633,0.0000935264,0.0003121125,0.003190191,0.002976973],"genre_scores_gemma":[0.6430921,0.0005200999,0.3505816,0.0002411023,0.00007777118,0.0001091919,0.001010543,0.0002137985,0.004153918],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00196994,"threshold_uncertainty_score":0.006823897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06512218614188518,"score_gpt":0.3012086138658536,"score_spread":0.2360864277239684,"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."}}