{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002446193,0.0001475014,0.0001420589,0.0002390839,0.0002853215,0.0002549715,0.0006483237,0.00003634231,0.00009645213],"category_scores_gemma":[0.00002549,0.000111319,0.00004578412,0.001090964,0.00003907597,0.0009824481,0.0006217395,0.0002814722,0.0006175011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004223318,"about_ca_system_score_gemma":0.00004502915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002343434,"about_ca_topic_score_gemma":0.00002776625,"domain_scores_codex":[0.9987132,0.00008188117,0.0001772354,0.0004249411,0.0002952255,0.0003075082],"domain_scores_gemma":[0.9990588,0.0002335487,0.00007115967,0.0004909742,0.00006475511,0.00008071805],"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":[0.00008986878,0.0002257715,0.01163843,0.0001098838,0.0001709527,0.0008865148,0.003739754,0.514266,0.009511461,0.1595695,0.03182594,0.267966],"study_design_scores_gemma":[0.0002776311,0.00008113486,0.002522841,0.00004810593,0.000004023619,0.00003815671,0.00004968118,0.9878526,0.00008718319,0.0003231566,0.008532372,0.0001830946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02906703,0.000003113047,0.960522,0.002568833,0.0007843605,0.0001038865,3.624192e-7,0.001468118,0.005482274],"genre_scores_gemma":[0.8543231,0.000002992032,0.1435441,0.0002950802,0.0001690522,0.00001031248,0.000004579968,0.00001775571,0.001633013],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8252561,"threshold_uncertainty_score":0.7936933,"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."}}