{"id":"W4416260937","doi":"10.1007/978-981-95-4109-6_33","title":"Semantic Consistency Guided Backdoor Trigger Inversion and InitDistillNet for Backdoor Detection","year":2025,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Novelis (Canada)","funders":"","keywords":"Backdoor; Inversion (geology); Outlier; Anomaly detection; Consistency (knowledge bases)","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":[0.0008125706,0.001317147,0.001325653,0.0008288575,0.0007942538,0.001948168,0.002170079,0.001697212,0.008338278],"category_scores_gemma":[0.003048417,0.0005322838,0.001022722,0.0006321284,0.001457639,0.003193999,0.003136321,0.002675429,0.001961696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049805,"about_ca_system_score_gemma":0.001692613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003399721,"about_ca_topic_score_gemma":0.006912949,"domain_scores_codex":[0.9989163,0.0001710566,0.00004761099,0.0002995604,0.0004006883,0.0001648278],"domain_scores_gemma":[0.9991297,0.0003395741,0.00005558777,0.0002954231,0.0001384354,0.00004130081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008932135,0.0003078072,0.0009817265,0.0003374032,0.0001441656,0.0003516314,0.0002103388,0.1681321,0.02983122,0.1309495,0.02282647,0.6450345],"study_design_scores_gemma":[0.00002576614,0.00009510339,0.0001741386,0.00003347929,0.00003650454,0.0001449818,0.0000464524,0.8986787,0.0168751,0.07826371,0.00559839,0.00002779742],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01173201,0.0004820006,0.9755258,0.0002438064,0.0002424766,0.0001158967,0.0002474418,0.004847393,0.006563072],"genre_scores_gemma":[0.4975391,0.0004681888,0.4831713,0.0005715958,0.0002151355,0.0001866596,0.001515385,0.001400162,0.0149323],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.008338278,"threshold_uncertainty_score":0.02789432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03493198983547104,"score_gpt":0.3011699993093499,"score_spread":0.2662380094738789,"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."}}