{"id":"W4417003545","doi":"10.1109/jsac.2025.3640601","title":"Can Knowledge Improve Security? A Coding-Enhanced Jamming Approach for Semantic Communication","year":2025,"lang":"","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Decoding methods; Encryption; Jamming; Channel (broadcasting); Leverage (statistics); Overhead (engineering); Channel state information; Key (lock)","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","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002760188,0.0006919892,0.0009249425,0.001930696,0.002812564,0.001258074,0.007459139,0.0005510158,0.000008554446],"category_scores_gemma":[0.001469754,0.000793775,0.0003437392,0.005630973,0.0004678909,0.001002345,0.0007437768,0.003059288,0.0000164261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002173325,"about_ca_system_score_gemma":0.002386624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009847764,"about_ca_topic_score_gemma":0.0008471132,"domain_scores_codex":[0.9925459,0.002471576,0.002434951,0.0009812173,0.0005848322,0.0009815422],"domain_scores_gemma":[0.9861094,0.003049238,0.001455522,0.005476967,0.003594601,0.0003143105],"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":[0.0008596614,0.0159458,0.001465061,0.001285268,0.001446601,0.000005054901,0.04784632,0.03946847,0.07468998,0.564783,0.006058432,0.2461463],"study_design_scores_gemma":[0.002966502,0.000325682,0.003025173,0.001910509,0.0001654142,0.00003179525,0.0006051461,0.9654959,0.007952886,0.01528716,0.001464346,0.0007695176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01707551,0.003037729,0.9518238,0.0147027,0.001395616,0.003193862,0.00006771804,0.0002440458,0.008459042],"genre_scores_gemma":[0.9515809,0.002789797,0.0435502,0.0003866001,0.000181827,0.0007111522,0.0001400102,0.00006676415,0.0005927766],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9345053,"threshold_uncertainty_score":0.9997787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03879565846859038,"score_gpt":0.3172102680562299,"score_spread":0.2784146095876395,"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."}}