{"id":"W4414405890","doi":"10.1109/iccworkshops67674.2025.11162215","title":"Backdoor Attacks on Large Language Model Based Semantic Communication Systems","year":2025,"lang":"en","type":"article","venue":"","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Backdoor; Key (lock); Feature (linguistics); Semantic security; Adversary; Adversarial system; Function (biology); Attack model","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":[0.002059155,0.001207439,0.001120728,0.0006281871,0.0008485015,0.00131697,0.001401245,0.001735541,0.001431791],"category_scores_gemma":[0.007171135,0.0004741735,0.001130203,0.0004347907,0.002404032,0.004008071,0.004862798,0.002449691,0.0004733232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009908222,"about_ca_system_score_gemma":0.001056838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009725704,"about_ca_topic_score_gemma":0.0007388329,"domain_scores_codex":[0.9965159,0.001241814,0.0001596743,0.0005309841,0.001050774,0.0005009228],"domain_scores_gemma":[0.9957079,0.002248252,0.0004188561,0.001206768,0.0002879415,0.000130217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001045609,0.0002586531,0.001430573,0.0002331889,0.0002142841,0.0008071274,0.0005657544,0.6820034,0.04990475,0.1640821,0.0039954,0.09545925],"study_design_scores_gemma":[0.00001886379,0.00007750539,0.00009468903,0.000008366464,0.00001407682,0.00009699259,0.00002114503,0.951039,0.01106962,0.03681926,0.0007213114,0.0000192236],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06202075,0.0001928232,0.9332669,0.0005091004,0.00006423865,0.00006658634,0.00009237354,0.00185479,0.00193246],"genre_scores_gemma":[0.9455134,0.00009601244,0.05170671,0.000294393,0.00004015807,0.00009834294,0.0001009472,0.0001285747,0.002021542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002059155,"threshold_uncertainty_score":0.01089001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0141346865752307,"score_gpt":0.2847511352235733,"score_spread":0.2706164486483426,"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."}}