{"id":"W4399666151","doi":"10.1109/jsac.2024.3414597","title":"WiShield: Privacy Against Wi-Fi Human Tracking","year":2024,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Computer science; Computer network; Information privacy; Privacy protection; 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":[0.003688745,0.000616861,0.000610174,0.000633101,0.001059911,0.001914066,0.001711961,0.001659077,0.001731072],"category_scores_gemma":[0.00775192,0.0003058973,0.0007023916,0.0005098311,0.001604233,0.003672727,0.003862206,0.001647367,0.0004079443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043942,"about_ca_system_score_gemma":0.001771253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002444378,"about_ca_topic_score_gemma":0.001898957,"domain_scores_codex":[0.9967371,0.000926143,0.0001775774,0.0003934867,0.001355379,0.0004102557],"domain_scores_gemma":[0.9963506,0.001445695,0.0003646157,0.001206778,0.0004856795,0.0001465257],"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":[0.0009233803,0.0002650536,0.005021643,0.0002990068,0.0001722311,0.0009687985,0.0007236813,0.283453,0.04255031,0.2548183,0.01476023,0.3960443],"study_design_scores_gemma":[0.00006223903,0.0002434069,0.0008420728,0.00003963321,0.00003415062,0.0005482603,0.0001452482,0.8973336,0.02914842,0.05922083,0.01232037,0.00006174763],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01808874,0.0002994133,0.9748549,0.0005311753,0.00004673756,0.000116311,0.0001170189,0.001246559,0.004699097],"genre_scores_gemma":[0.8240172,0.0004266369,0.1684369,0.0003513856,0.00007504865,0.0001807963,0.0003313187,0.0001293445,0.006051278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003688745,"threshold_uncertainty_score":0.01950812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08218276517780866,"score_gpt":0.3832439479129203,"score_spread":0.3010611827351117,"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."}}