{"id":"W4414856545","doi":"10.1109/tvcg.2025.3616736","title":"p-Blend: Privacy- and Utility-Preserving Blendshape Perturbation Against Re-Identification Attacks in Virtual Reality","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Face recognition and analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"State Key Laboratory of Virtual Reality Technology and Systems; Natural Science Foundation of Shandong Province; Beihang University","keywords":"Naturalness; Exploit; Usability; Virtual reality; Smoothness; Statistical model; Hyperparameter; Empirical research","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":[0.0004433235,0.0001872622,0.0002127879,0.00083514,0.0003304539,0.0003392693,0.0002734718,0.0001321986,0.00001169192],"category_scores_gemma":[0.00001329145,0.0002016421,0.00007424197,0.001501019,0.00007185248,0.0006395435,0.00001769593,0.000203407,0.000002873289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003491977,"about_ca_system_score_gemma":0.00004727792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003024445,"about_ca_topic_score_gemma":0.0001244641,"domain_scores_codex":[0.9982575,0.0002597319,0.0004717606,0.000584499,0.0002414714,0.0001850565],"domain_scores_gemma":[0.9990925,0.0001559989,0.0001092568,0.0003980522,0.000161261,0.00008289271],"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":[0.00008692504,0.001365265,0.001626949,0.000372588,0.0002492314,0.000008283992,0.00538964,0.008054578,0.0003940401,0.5355462,0.001156423,0.4457498],"study_design_scores_gemma":[0.0005142216,0.00004460963,0.002707493,0.0001184217,0.00002263856,0.000001501904,0.00009050621,0.9925175,0.001158848,0.002114886,0.0005266679,0.0001826702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02791316,0.00005913679,0.9704461,0.0007250767,0.0003079605,0.0002031432,0.000009254559,0.0001629502,0.0001732642],"genre_scores_gemma":[0.9970994,0.001100766,0.0003684674,0.001120484,0.00001503215,0.00002619919,0.0000246717,0.000008300987,0.0002367085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.984463,"threshold_uncertainty_score":0.8222727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02596292751852699,"score_gpt":0.2973003684220322,"score_spread":0.2713374409035052,"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."}}