{"id":"W3175734114","doi":"10.1109/icde51399.2021.00202","title":"Stealthy Targeted Data Poisoning Attack on Knowledge Graphs","year":2021,"lang":"en","type":"article","venue":"","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada); University of British Columbia","funders":"","keywords":"Intuition; Computer science; Embedding; Reinforcement learning; Adversarial system; Artificial intelligence; Machine learning; Benchmark (surveying); Computer security","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":[0.001310392,0.001106538,0.001032972,0.000821184,0.000440124,0.0008560103,0.001381975,0.001439404,0.0009153251],"category_scores_gemma":[0.007448972,0.0003062959,0.000663791,0.0006161304,0.001328344,0.002637226,0.001635754,0.001521992,0.0003473218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051408,"about_ca_system_score_gemma":0.0007643139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002398915,"about_ca_topic_score_gemma":0.002694364,"domain_scores_codex":[0.9989647,0.0002937179,0.00006446577,0.0002999585,0.0002628728,0.0001144254],"domain_scores_gemma":[0.995154,0.002709068,0.000579341,0.00111353,0.0002800008,0.0001640093],"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":[0.0004717454,0.0001806024,0.004280351,0.0002530344,0.0001796231,0.0004174105,0.000153177,0.8262038,0.009314735,0.01144805,0.006029154,0.1410683],"study_design_scores_gemma":[0.00002314467,0.0001171721,0.0006206367,0.00002024401,0.00002895278,0.000204013,0.00003751599,0.9795125,0.00519464,0.01293377,0.001296028,0.00001137022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4174781,0.002664002,0.5622633,0.001858742,0.0001500095,0.0003003299,0.0014317,0.006289298,0.007564617],"genre_scores_gemma":[0.9426538,0.0003827649,0.05362137,0.0003073629,0.00003328379,0.00005521139,0.001025319,0.00008995669,0.00183105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002398915,"threshold_uncertainty_score":0.00762856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0819910612534251,"score_gpt":0.3568086033172135,"score_spread":0.2748175420637884,"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."}}