{"id":"W4295134926","doi":"10.1016/j.ifacol.2022.10.332","title":"Mutual Opacity between Multiple Adversaries","year":2022,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Allison University","funders":"","keywords":"Adversary; Computer science; Opacity; Property (philosophy); Set (abstract data type); Control (management); Information flow; State (computer science); Computer security; Controller (irrigation); Exploit; Distributed computing; Artificial intelligence; Algorithm","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":[0.0007219916,0.0002465242,0.0003530649,0.0001767868,0.0007129841,0.000122914,0.001776751,0.00006515386,0.0001270504],"category_scores_gemma":[0.0001847556,0.0002560536,0.0001416178,0.0007471137,0.00007217968,0.0005018805,0.001405657,0.0004676204,0.00009482288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002420474,"about_ca_system_score_gemma":0.0001447621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001468398,"about_ca_topic_score_gemma":0.00003243199,"domain_scores_codex":[0.9973011,0.0002345283,0.0004059967,0.000687029,0.0008377748,0.0005335575],"domain_scores_gemma":[0.99835,0.0003860774,0.0001621991,0.0008660715,0.00007049707,0.0001651108],"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":[0.0003527633,0.001885847,0.344877,0.0003870444,0.001171713,0.001305809,0.06775307,0.1252952,0.02942213,0.0270825,0.002403878,0.3980631],"study_design_scores_gemma":[0.003048464,0.0005073341,0.007520838,0.00004334226,0.00005215609,0.0001800234,0.002110018,0.9220717,0.001810651,0.0008923568,0.0602865,0.001476593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5479678,0.0006583463,0.4419002,0.003404967,0.001882539,0.000473616,0.0003524984,0.001014016,0.002346018],"genre_scores_gemma":[0.6805735,0.000004238626,0.3179225,0.000349845,0.000342635,0.00003205284,0.0000385629,0.00001867493,0.0007179353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7967765,"threshold_uncertainty_score":0.9999892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03170686237482232,"score_gpt":0.2486145677420007,"score_spread":0.2169077053671784,"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."}}