{"id":"W3121786052","doi":"10.1007/s12095-020-00469-5","title":"Quiescent photonics side channel analysis: Low cost SRAM readout attack","year":2021,"lang":"en","type":"article","venue":"Cryptography and Communications","topic":"Integrated Circuits and Semiconductor Failure Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Photonics; Static random-access memory; Channel (broadcasting); Computer science; Substrate (aquarium); Flash (photography); Optoelectronics; Photon; Computer hardware; Embedded system; Materials science; Optics; Telecommunications; Physics","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":[0.0001042711,0.0001859269,0.0003122035,0.0003290481,0.0002891649,0.0001379994,0.0004172999,0.0001166041,0.00008118841],"category_scores_gemma":[0.00001576542,0.0001890919,0.0003271921,0.002182222,0.0001429343,0.0001182332,0.00008433464,0.000349848,0.00001450045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002581059,"about_ca_system_score_gemma":0.00002896981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005556898,"about_ca_topic_score_gemma":0.001101971,"domain_scores_codex":[0.9990543,0.00007317357,0.0002998835,0.0002088211,0.0001154366,0.0002483887],"domain_scores_gemma":[0.9980339,0.00007915225,0.00004531149,0.001528724,0.0001923146,0.0001205545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007035889,0.004647015,0.04941957,0.001205449,0.09702615,0.0001570953,0.04564073,0.2042477,0.1066793,0.2927339,0.04681506,0.1513576],"study_design_scores_gemma":[0.001703686,0.00007535356,0.01537419,0.0004157491,0.01166615,0.00005906065,0.02437463,0.549916,0.02796331,0.005394322,0.3600535,0.003004054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6616343,0.1097124,0.06871212,0.003785785,0.0007524954,0.001139411,0.0006833636,0.002077073,0.1515031],"genre_scores_gemma":[0.9888615,0.009215411,0.001160778,0.0002079699,0.00001596074,0.00006333602,0.0004009733,0.00002148322,0.00005257077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3456682,"threshold_uncertainty_score":0.7710943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02512956895434567,"score_gpt":0.2511682808218927,"score_spread":0.226038711867547,"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."}}