{"id":"W4388925778","doi":"10.1145/3603216.3624961","title":"A First Look at Generating Website Fingerprinting Attacks via Neural Architecture Search","year":2023,"lang":"en","type":"article","venue":"","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Adversary; Encryption; Computer security; Architecture; Artificial neural network; World Wide Web; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006373824,0.0002170916,0.0002403045,0.0002308084,0.0005506535,0.0003704361,0.0008968372,0.00007848891,0.0001819766],"category_scores_gemma":[0.00004827574,0.0001805593,0.0002116709,0.0008691399,0.00003117252,0.0001872142,0.001206409,0.000345158,0.0007695904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000621841,"about_ca_system_score_gemma":0.00002421757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005242727,"about_ca_topic_score_gemma":0.0006603146,"domain_scores_codex":[0.9977359,0.00009046249,0.0003648586,0.0006592703,0.0004653216,0.0006841499],"domain_scores_gemma":[0.9991531,0.0002163914,0.00007908641,0.0003426051,0.00008269815,0.0001261159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000055675,0.00002985584,0.002556331,0.00005791065,0.00009418924,0.0001861592,0.006750846,0.9222774,0.002597601,0.01741952,0.003338842,0.04468577],"study_design_scores_gemma":[0.0001154983,0.00002757405,0.0004933081,0.00002487295,0.000005970982,0.00003784047,0.00005433099,0.9974515,0.0005338932,0.000008102161,0.001026192,0.000220943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.420376,0.00002694713,0.5766412,0.001103179,0.0001888984,0.00007773271,4.852564e-7,0.0005099908,0.001075593],"genre_scores_gemma":[0.9763084,0.00000287172,0.01780656,0.0005135963,0.0002877391,0.000007445994,0.000006802295,0.00001973794,0.00504685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5588346,"threshold_uncertainty_score":0.9891785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01755614733091132,"score_gpt":0.2500476478653132,"score_spread":0.2324915005344019,"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."}}