{"id":"W4283812303","doi":"10.1609/aaai.v36i11.21658","title":"Towards One Shot Search Space Poisoning in Neural Architecture Search (Student Abstract)","year":2022,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Exploit; Robustness (evolution); Architecture; Computer science; Space (punctuation); Artificial intelligence; Machine learning; Shot (pellet); Computer security; Artificial neural network; Data mining; Geography; Operating system","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":[0.001895329,0.0003019615,0.000380005,0.0004010885,0.000567645,0.0003502794,0.004484665,0.00007947678,0.0002854275],"category_scores_gemma":[0.0003777919,0.0002682979,0.0001447262,0.001609619,0.0002221568,0.0003839069,0.003024657,0.002185443,0.00002497156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002562076,"about_ca_system_score_gemma":0.0002582984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004765551,"about_ca_topic_score_gemma":0.00003379706,"domain_scores_codex":[0.9959851,0.0001085317,0.000647184,0.0008084247,0.001722083,0.0007287103],"domain_scores_gemma":[0.9986098,0.0002020895,0.0002786574,0.0004399866,0.0003431651,0.0001263045],"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":[0.000176883,0.0003934981,0.00219929,0.00006206609,0.00002254065,0.000009803995,0.01466813,0.1570646,0.025634,0.6901922,0.00001959578,0.1095574],"study_design_scores_gemma":[0.0001937578,0.0007921355,0.01353058,0.0003227787,0.0000177955,0.00003983775,0.01049932,0.7446843,0.168312,0.06062522,0.0001074172,0.0008748198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9214013,0.00005881882,0.03629955,0.02121997,0.0008199557,0.001004056,0.0000073298,0.0001860423,0.01900298],"genre_scores_gemma":[0.9945253,0.000007830881,0.004929166,0.0002064202,0.00009184717,0.00004812247,8.345252e-7,0.0000246337,0.0001658967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.629567,"threshold_uncertainty_score":0.9999769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1211072466310777,"score_gpt":0.3499893014507844,"score_spread":0.2288820548197067,"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."}}