{"id":"W2621029580","doi":"","title":"Covert Channel Synthesis for Transducers ⋆","year":2010,"lang":"en","type":"preprint","venue":"","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Covert channel; Covert; Probabilistic logic; Computer science; Channel (broadcasting); Undecidable problem; Decoding methods; Theoretical computer science; Iterated function; Algorithm; Mathematics; Computer network; Decidability; 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":[0.001614508,0.0004868381,0.0006331918,0.0008337633,0.0009452146,0.001588412,0.0006582033,0.001292087,0.005214298],"category_scores_gemma":[0.01023779,0.0004119944,0.001194345,0.0006033226,0.003120551,0.003031685,0.002348213,0.002033756,0.0006642485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001722553,"about_ca_system_score_gemma":0.001384403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004211009,"about_ca_topic_score_gemma":0.0004042903,"domain_scores_codex":[0.9971184,0.0007115471,0.0001805324,0.0007673537,0.0008310725,0.0003911023],"domain_scores_gemma":[0.9898304,0.007385105,0.0006014624,0.00114763,0.000750375,0.0002850511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002007321,0.00008994157,0.0007762034,0.0002876761,0.00003423121,0.0004240166,0.0004772046,0.0674241,0.01566951,0.8773367,0.00178464,0.03549503],"study_design_scores_gemma":[0.00003441593,0.0001146929,0.0001808888,0.00005722294,0.00003464559,0.0002831022,0.00008870693,0.3339514,0.02737115,0.6313065,0.006542464,0.00003470614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04397826,0.00018753,0.9419068,0.0006111042,0.00008255778,0.0001159863,0.0001840116,0.0007580564,0.01217566],"genre_scores_gemma":[0.8021358,0.0002098386,0.1913959,0.0002527383,0.00008584379,0.0002891604,0.0003335497,0.0002293355,0.005067906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005214298,"threshold_uncertainty_score":0.0174436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084466470432227,"score_gpt":0.2481974519357344,"score_spread":0.2273527872314122,"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."}}