{"id":"W4385695492","doi":"10.1109/dsn58367.2023.00048","title":"vWitness: Certifying Web Page Interactions with Computer Vision","year":2023,"lang":"en","type":"article","venue":"","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Toronto","funders":"","keywords":"Computer science; World Wide Web; Web page; Information retrieval; Computer graphics (images)","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":[0.001878584,0.0006538386,0.0006140185,0.0008319729,0.00038696,0.001436691,0.001666009,0.001275695,0.001883016],"category_scores_gemma":[0.01028502,0.0003980729,0.0004761002,0.0003478147,0.001225058,0.002508443,0.00224054,0.001465366,0.001283483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007558236,"about_ca_system_score_gemma":0.0008304996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001846224,"about_ca_topic_score_gemma":0.00160041,"domain_scores_codex":[0.9977214,0.0003665683,0.0001071674,0.0004298348,0.001099541,0.0002754308],"domain_scores_gemma":[0.9949118,0.00122546,0.0007532919,0.002173822,0.0007417777,0.0001938813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001352894,0.0006472172,0.01337064,0.0003824506,0.0002294239,0.0008531514,0.0004746777,0.2117174,0.1728845,0.02918075,0.01886374,0.5500431],"study_design_scores_gemma":[0.00002605929,0.0002347361,0.002280784,0.00002891554,0.0000167684,0.0004211931,0.0000476433,0.8800927,0.1031191,0.009793599,0.003898685,0.00003985035],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1327478,0.0004027761,0.8299736,0.0003068254,0.000133445,0.0002557198,0.0002267322,0.02777484,0.008178248],"genre_scores_gemma":[0.8936695,0.0001095699,0.101927,0.0002077088,0.00003734937,0.00007320481,0.0004337281,0.0004101975,0.003131822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001883016,"threshold_uncertainty_score":0.009935021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02191165408595461,"score_gpt":0.2958936106085046,"score_spread":0.2739819565225499,"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."}}