{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004315575,0.0001079694,0.0001317602,0.0001134448,0.0001708117,0.0001555121,0.0007043954,0.00005544659,0.000006268917],"category_scores_gemma":[0.00003323609,0.00009518885,0.00005087609,0.0003530068,0.00001528704,0.00007825309,0.000264316,0.0001601428,0.00007392377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003466121,"about_ca_system_score_gemma":0.00005718487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003419403,"about_ca_topic_score_gemma":0.00002531984,"domain_scores_codex":[0.9990712,0.0001394055,0.000163616,0.0002676311,0.0001379828,0.0002200983],"domain_scores_gemma":[0.9986997,0.0002931031,0.00003737172,0.0008391548,0.00009155327,0.00003917085],"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":[0.00002659817,0.0005357132,0.000702197,0.0001183026,0.00006103191,0.00001404702,0.0008736,0.2616813,0.0001872301,0.6328001,0.04823265,0.05476725],"study_design_scores_gemma":[0.0003550604,0.00001816934,0.000242518,0.0002166552,0.000004984237,5.317016e-7,0.00004466444,0.998035,0.0001901265,0.0002670168,0.0005216084,0.0001037294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01219704,0.0003490478,0.9457802,0.0008989638,0.0001969893,0.0001561794,0.000001868351,0.0003182355,0.04010155],"genre_scores_gemma":[0.9866514,0.000007281365,0.007498872,0.002038901,0.00001989807,0.00001188132,0.000008809929,0.000005279158,0.00375763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9744544,"threshold_uncertainty_score":0.3881689,"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."}}