{"id":"W4408565638","doi":"10.1109/acsac63791.2024.00031","title":"You Only Perturb Once: Bypassing (Robust) Ad-Blockers Using Universal Adversarial Perturbations","year":2024,"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":"Kootenay Association for Science & Technology","funders":"","keywords":"Adversarial system; Computer science; Control theory (sociology); Artificial intelligence; Control (management)","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":[0.00197179,0.001193223,0.0008293351,0.0004379452,0.0005054395,0.000890957,0.001264168,0.001123259,0.001546372],"category_scores_gemma":[0.008301677,0.0004343567,0.000643394,0.0002897741,0.001853835,0.002603599,0.002377745,0.002990499,0.0006553062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007913256,"about_ca_system_score_gemma":0.0009162037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001279039,"about_ca_topic_score_gemma":0.001248937,"domain_scores_codex":[0.998221,0.0007542058,0.00006283127,0.0003054337,0.0004007265,0.0002557095],"domain_scores_gemma":[0.9947957,0.00271742,0.0004767388,0.001549457,0.000273101,0.0001875587],"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":[0.0007570161,0.0003723782,0.005839792,0.0002462659,0.0001647019,0.0004103217,0.0002657498,0.7126061,0.04236092,0.06689196,0.01231669,0.1577681],"study_design_scores_gemma":[0.00002325417,0.0001080439,0.0003071991,0.00001659604,0.00001695731,0.000122213,0.00002574083,0.9756361,0.008783953,0.01319646,0.001748712,0.00001475799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1295516,0.0006785167,0.8542688,0.001222814,0.0001919633,0.0002791061,0.0001951564,0.00633435,0.007277687],"genre_scores_gemma":[0.9477274,0.0002002748,0.04931495,0.0004841507,0.00004952131,0.00008990888,0.0001590786,0.0001739631,0.001800783],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00197179,"threshold_uncertainty_score":0.01042795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288839562674478,"score_gpt":0.2739138286725958,"score_spread":0.251025433045851,"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."}}