{"id":"W4362647548","doi":"10.1109/icsca57840.2023.10087584","title":"Deep learning based DeepFake video detection","year":2023,"lang":"en","type":"article","venue":"","topic":"Face recognition and analysis","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Computer science; Deep learning; Field (mathematics); Artificial intelligence; Transfer of learning; Data science; Categorization; Harm; Extortion; Machine learning; Face (sociological concept); Social media; Spotting; Closed captioning; Deep neural networks; Computer security; Image (mathematics); World Wide Web","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":[0.0007004414,0.0009500236,0.0006342639,0.001644804,0.0003735682,0.0008041936,0.001026809,0.0009362493,0.001752216],"category_scores_gemma":[0.001964286,0.00027618,0.0005412697,0.0006390681,0.0003491349,0.001237851,0.0007645221,0.001100888,0.0008551878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001162185,"about_ca_system_score_gemma":0.0007310082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008483803,"about_ca_topic_score_gemma":0.01092979,"domain_scores_codex":[0.9994556,0.00006406631,0.00002444776,0.0001205898,0.0001999316,0.0001353784],"domain_scores_gemma":[0.9994073,0.0001356685,0.00007910455,0.00008435465,0.0002564504,0.00003709865],"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":[0.0003842889,0.0002579718,0.0067116,0.000137214,0.0001140287,0.0002839915,0.00006347884,0.06264956,0.02181646,0.004809954,0.01351866,0.8892529],"study_design_scores_gemma":[0.000008467984,0.00005670707,0.001549763,0.00002149859,0.00001598078,0.0001484187,0.00002300316,0.9727217,0.0204067,0.002524374,0.002509165,0.00001419937],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2645048,0.003299775,0.7106031,0.001101485,0.0005394729,0.0002703503,0.001715608,0.006818686,0.01114667],"genre_scores_gemma":[0.8505448,0.0007515295,0.1334423,0.0003723688,0.00008963259,0.00007640377,0.001824767,0.00008642354,0.01281182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008483803,"threshold_uncertainty_score":0.01686883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412312200304081,"score_gpt":0.2310234903968903,"score_spread":0.2169003683938495,"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."}}