{"id":"W4253753479","doi":"10.1145/2786763.2694380","title":"Protecting Data on Smartphones and Tablets from Memory Attacks","year":2015,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Computer science; Embedded system; Dram; Computer hardware; Code (set theory); Class (philosophy); Memory protection; Mobile device; Operating system; Computer security; Computer data storage; Registered memory; Extended memory","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":[0.0006342929,0.0005194162,0.000617156,0.000880652,0.0009817302,0.002220018,0.0007168216,0.00144591,0.006499095],"category_scores_gemma":[0.005641331,0.0003861139,0.0004707438,0.0006287351,0.0008826783,0.002213086,0.002823159,0.001265066,0.003345566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005959691,"about_ca_system_score_gemma":0.000682131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001036815,"about_ca_topic_score_gemma":0.0009292574,"domain_scores_codex":[0.9984286,0.0002704094,0.0001394511,0.0001686997,0.0007419114,0.0002508106],"domain_scores_gemma":[0.9957209,0.000675895,0.0004449299,0.002568965,0.000439338,0.0001500873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001402948,0.0002120253,0.01473568,0.001109183,0.0002173815,0.00266213,0.002657709,0.006051044,0.1750757,0.08235373,0.08523991,0.6282826],"study_design_scores_gemma":[0.0002440773,0.0008564155,0.0128715,0.0006772066,0.0003303559,0.005623299,0.0009222622,0.04968962,0.4342441,0.03021111,0.4641402,0.0001900323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5122418,0.01517443,0.2363263,0.009113321,0.001453277,0.0009899434,0.003076052,0.01816067,0.2034642],"genre_scores_gemma":[0.948534,0.001949465,0.02061192,0.001651247,0.0002296375,0.0001635115,0.000674147,0.0003694345,0.02581661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006499095,"threshold_uncertainty_score":0.02174157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09310083894900183,"score_gpt":0.3039731020865903,"score_spread":0.2108722631375885,"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."}}