{"id":"W4308083593","doi":"10.1109/micro56248.2022.00022","title":"AQUA: Scalable Rowhammer Mitigation by Quarantining Aggressor Rows at Runtime","year":2022,"lang":"en","type":"article","venue":"","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Row; Static random-access memory; Scalability; Indirection; Overhead (engineering); Swap (finance); Computer science; Engineering; Dram; Computer hardware; Operating system","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":[0.0003777328,0.001177926,0.0005344921,0.0005914129,0.0005931674,0.0008505118,0.00244352,0.0005234423,0.007359643],"category_scores_gemma":[0.001302942,0.0004983071,0.0005277311,0.0003715471,0.0007146826,0.002001593,0.001548363,0.0008302132,0.002100963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005439488,"about_ca_system_score_gemma":0.001010743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00125986,"about_ca_topic_score_gemma":0.003275103,"domain_scores_codex":[0.9993466,0.00008628076,0.00005077217,0.000149092,0.0002163933,0.000151013],"domain_scores_gemma":[0.9981582,0.0002725687,0.0002388575,0.0008836534,0.0003457214,0.0001011039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00185561,0.0005018507,0.01184991,0.001047528,0.0003767545,0.0009195399,0.0006837737,0.04640321,0.5343909,0.01065929,0.05136835,0.3399433],"study_design_scores_gemma":[0.0002332707,0.003334225,0.005557719,0.0001093333,0.0002915639,0.001579651,0.0004344269,0.3551517,0.5418029,0.01077466,0.08049957,0.0002309317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5151272,0.004065721,0.3618041,0.001031401,0.0008577416,0.0005795476,0.001193249,0.09565921,0.01968174],"genre_scores_gemma":[0.8951684,0.000281777,0.09078781,0.0004893569,0.00008342374,0.0002201514,0.000893843,0.0008956152,0.01117962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007359643,"threshold_uncertainty_score":0.02462047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011404763245133,"score_gpt":0.2229753802334781,"score_spread":0.2128613326010267,"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."}}