{"id":"W4409248339","doi":"10.1109/hpca61900.2025.00079","title":"DAPPER: A Performance-Attack-Resilient Tracker for RowHammer Defense","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer security; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001211197,0.0008912223,0.0007001271,0.0007642388,0.000625634,0.001072739,0.002538941,0.001217572,0.003688243],"category_scores_gemma":[0.005261172,0.0005741524,0.0004604384,0.0004809129,0.001028237,0.002508204,0.003799544,0.001461243,0.002252694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000654318,"about_ca_system_score_gemma":0.001177332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004419178,"about_ca_topic_score_gemma":0.0005008958,"domain_scores_codex":[0.9981514,0.0002221886,0.0001277768,0.0003488391,0.0009267728,0.00022304],"domain_scores_gemma":[0.9960478,0.0006937374,0.0005313325,0.001985347,0.0005246399,0.0002172052],"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":[0.002123921,0.0004393146,0.0177967,0.0009329275,0.0003225548,0.001035806,0.0005998062,0.09372408,0.2415206,0.03988285,0.05479506,0.5468264],"study_design_scores_gemma":[0.0001991498,0.001777821,0.003759196,0.00006870223,0.0001342753,0.001930778,0.0001530204,0.6618862,0.2495649,0.01619607,0.06416041,0.0001695357],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1087671,0.002085717,0.8376052,0.0005004267,0.0005844134,0.0006213014,0.0006615549,0.03860086,0.01057339],"genre_scores_gemma":[0.834883,0.0003758634,0.1525832,0.0005168728,0.0001272047,0.0002788875,0.0009137131,0.0008043479,0.009517001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003688243,"threshold_uncertainty_score":0.0123384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01586434856911713,"score_gpt":0.2915901319793519,"score_spread":0.2757257834102348,"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."}}