{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001604837,0.001014051,0.0009528093,0.001111643,0.001005955,0.002332043,0.001524405,0.002535207,0.006465597],"category_scores_gemma":[0.00825337,0.0005770785,0.001064275,0.0006811,0.002071115,0.005764208,0.001658617,0.004310712,0.001753694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008949976,"about_ca_system_score_gemma":0.0007329233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002035026,"about_ca_topic_score_gemma":0.002930734,"domain_scores_codex":[0.9983284,0.0004994331,0.00007531581,0.0002200802,0.0006589331,0.0002177706],"domain_scores_gemma":[0.9962303,0.001569424,0.0002030296,0.001247968,0.0006361227,0.0001131759],"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":[0.001333992,0.001134154,0.01438279,0.0007718374,0.0005843727,0.001158563,0.0006111845,0.1982869,0.04638064,0.3300079,0.03718605,0.3681616],"study_design_scores_gemma":[0.00008912323,0.0007752205,0.002635634,0.0002211614,0.000110511,0.001310522,0.0002192531,0.7829708,0.02402814,0.1715823,0.01593895,0.0001182624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1307449,0.005196107,0.779279,0.01406039,0.0006803505,0.0004865242,0.0008484267,0.00397141,0.06473283],"genre_scores_gemma":[0.7878424,0.002118225,0.1834619,0.002616016,0.0003479556,0.0001602004,0.0007506048,0.0003014807,0.02240117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006465597,"threshold_uncertainty_score":0.02162951,"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."}}