{"id":"W4293243601","doi":"10.1109/tcad.2022.3197986","title":"Bits-Ensemble: Toward Light-Weight Robust Deep Ensemble by Bits-Sharing","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Robustness (evolution); Decoding methods; Ensemble forecasting; Security token; Algorithm; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001282639,0.0005863161,0.0008634267,0.0007117483,0.0009844716,0.000438881,0.001606222,0.0002086728,0.00004737014],"category_scores_gemma":[0.00001642928,0.0005605979,0.0001997168,0.001622361,0.00007733222,0.000612874,0.0000461108,0.001192179,0.00001489892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000359124,"about_ca_system_score_gemma":0.0002283824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004430623,"about_ca_topic_score_gemma":0.000006236809,"domain_scores_codex":[0.9951333,0.0009372263,0.001079919,0.001224689,0.0009420495,0.0006828044],"domain_scores_gemma":[0.9974167,0.0005497759,0.0005081979,0.0009241824,0.0003310773,0.0002700679],"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":[0.00003480626,0.0002807257,0.00002658615,0.00009803746,0.0002149117,0.00005004869,0.001457131,0.9371397,0.01411903,0.002490908,0.001459589,0.04262851],"study_design_scores_gemma":[0.00107011,0.0008685823,0.000006853973,0.0001887327,0.00005673666,0.00031851,0.000364502,0.9863308,0.008350024,0.0001621619,0.001662923,0.0006200606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002607922,0.0005586325,0.9910361,0.0001847994,0.003911453,0.0007825301,0.00003440542,0.0004875966,0.0003965898],"genre_scores_gemma":[0.9849565,0.0000596525,0.01389319,0.0001378212,0.0001144904,0.0001689006,0.00001110275,0.00007465448,0.0005836607],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9823486,"threshold_uncertainty_score":0.9996846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0333859136588336,"score_gpt":0.2325771535505064,"score_spread":0.1991912398916728,"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."}}