{"id":"W4404943058","doi":"10.1007/978-3-031-78305-0_15","title":"Diffusion Models as a Representation Learner for Deepfake Image Detection","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Computer Research Institute of Montréal","funders":"","keywords":"Computer science; Representation (politics); Diffusion; Image (mathematics); Artificial intelligence; Computer vision; Thermodynamics","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":[0.0009820781,0.000829773,0.0010494,0.0006612391,0.0003421186,0.001141718,0.001426828,0.00163572,0.003242623],"category_scores_gemma":[0.002632158,0.000708836,0.0007573016,0.0006281584,0.0005917673,0.001882636,0.001903842,0.002704284,0.00144529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009183065,"about_ca_system_score_gemma":0.0005691859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002792652,"about_ca_topic_score_gemma":0.00362646,"domain_scores_codex":[0.9997165,0.00007869517,0.00001149861,0.00007643076,0.00007076176,0.00004621815],"domain_scores_gemma":[0.9991685,0.0005009659,0.00005486563,0.000102392,0.0001293011,0.00004392035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000232819,0.0001180677,0.0004972752,0.0001563022,0.0001010236,0.00008717964,0.00008417054,0.4892346,0.01944966,0.05850347,0.006640274,0.4248952],"study_design_scores_gemma":[0.000002245021,0.000009288516,0.0000234022,0.000003782867,0.000004207375,0.00001307037,0.000002153393,0.9900346,0.002181579,0.007190835,0.0005315097,0.000003260678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006032247,0.0004861578,0.9916301,0.0002126682,0.00004819369,0.00001624101,0.00005527659,0.0006638497,0.000855192],"genre_scores_gemma":[0.4389801,0.001384367,0.5298309,0.0003971064,0.0001963166,0.0001296197,0.0005668526,0.0006980081,0.02781675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003242623,"threshold_uncertainty_score":0.01084763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02050881456786294,"score_gpt":0.260682528575783,"score_spread":0.2401737140079201,"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."}}