{"id":"W2580529968","doi":"10.1109/eurosp.2017.30","title":"Reasoning about Probabilistic Defense Mechanisms against Remote Attacks","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Toronto","funders":"","keywords":"Probabilistic logic; Exploit; Computer security; Computer science; Cryptography; Artificial intelligence","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":[0.01611228,0.002093665,0.001520731,0.00307608,0.001914031,0.008006073,0.005216947,0.00490289,0.005211588],"category_scores_gemma":[0.05942973,0.002046689,0.003949744,0.001236099,0.007675054,0.01589229,0.00739274,0.00719729,0.0007858333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004442555,"about_ca_system_score_gemma":0.002276056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002733799,"about_ca_topic_score_gemma":0.001838352,"domain_scores_codex":[0.9865391,0.004794049,0.0009416318,0.0024935,0.003530269,0.001701443],"domain_scores_gemma":[0.9469413,0.04044222,0.004292666,0.004733493,0.002281562,0.001308714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006247171,0.00004342059,0.0009185375,0.0001251081,0.0001074822,0.0002265876,0.000344114,0.1071823,0.001041543,0.8823647,0.0008505597,0.006733147],"study_design_scores_gemma":[0.00003564564,0.00003330819,0.0001483366,0.00004649049,0.00006047588,0.0001152552,0.00007838231,0.2519322,0.001004076,0.744593,0.001922819,0.00003011355],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02875413,0.0003757431,0.958104,0.002460098,0.00006989824,0.0001203922,0.0001553617,0.0006763237,0.009283998],"genre_scores_gemma":[0.8192088,0.0007035051,0.1735797,0.0007972278,0.0002912965,0.0003863817,0.0002842497,0.0002751923,0.004473713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01611228,"threshold_uncertainty_score":0.08521092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04279975042247994,"score_gpt":0.2997853363203754,"score_spread":0.2569855858978954,"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."}}