{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006041602,0.0004428205,0.0003996736,0.0006294306,0.0003314911,0.001006916,0.001312741,0.0002767966,0.00001325321],"category_scores_gemma":[0.0001016706,0.0003892109,0.0002261488,0.000533057,0.000308106,0.001186121,0.0008375801,0.0004915468,0.00006063737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002378148,"about_ca_system_score_gemma":0.0002008404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000479247,"about_ca_topic_score_gemma":0.0001176416,"domain_scores_codex":[0.9966796,0.00003432052,0.0004272012,0.001689633,0.0006646869,0.0005045403],"domain_scores_gemma":[0.9980761,0.0003908233,0.0001949822,0.0009031517,0.0003121789,0.0001227801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001653985,0.0000183645,8.623268e-7,0.00003961171,0.00001694967,0.00003079981,0.0006491184,0.2159714,0.004729487,0.01700975,0.00004631273,0.7614708],"study_design_scores_gemma":[0.0001258177,0.0001137383,0.000003088359,0.0001202682,0.00001219134,0.00001993091,2.529576e-7,0.6370198,0.008151933,0.3534794,0.0006703655,0.0002831768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00004474973,0.0003669676,0.991778,0.0007690259,0.002502686,0.0006763104,0.000004758076,0.0001786877,0.003678884],"genre_scores_gemma":[0.3129029,0.0001324064,0.6807618,0.0008748967,0.001688435,0.00007335412,0.00001388394,0.00008709832,0.003465288],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7611876,"threshold_uncertainty_score":0.999856,"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."}}