{"id":"W4391974622","doi":"10.1109/mnet.2024.3367788","title":"A Comprehensive Overview of Backdoor Attacks in Large Language Models Within Communication Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Network","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Backdoor; Computer science; Computer security; Computer network; Telecommunications","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":[0.002642798,0.001508682,0.001233386,0.00448579,0.0009542015,0.003150033,0.001501765,0.001858291,0.002966085],"category_scores_gemma":[0.009315041,0.0009763025,0.001707235,0.003977053,0.001046782,0.006823723,0.001967826,0.002162034,0.001413062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001424632,"about_ca_system_score_gemma":0.002175588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002225461,"about_ca_topic_score_gemma":0.001492021,"domain_scores_codex":[0.9956157,0.001322776,0.0005594122,0.0004379702,0.001723832,0.0003403124],"domain_scores_gemma":[0.9929622,0.005001999,0.0005453057,0.0006878286,0.0007001351,0.0001025391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001462666,0.0001747228,0.003332763,0.00645279,0.0002559663,0.0007602359,0.0009807308,0.02844141,0.003327258,0.07243912,0.01894374,0.864745],"study_design_scores_gemma":[0.00003795683,0.000605233,0.005753709,0.00827074,0.00073217,0.007434702,0.001527143,0.1594179,0.01406396,0.1385799,0.6632599,0.000316709],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02165249,0.5450205,0.3732774,0.004034023,0.000823467,0.0006370466,0.000771948,0.001928617,0.05185449],"genre_scores_gemma":[0.2099752,0.6179706,0.1515905,0.002264297,0.001555528,0.0007106193,0.001732098,0.000470861,0.01373039],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00448579,"threshold_uncertainty_score":0.01397663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03520444815215881,"score_gpt":0.2945481379891765,"score_spread":0.2593436898370177,"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."}}