{"id":"W4413679387","doi":"10.1109/compsac65507.2025.00338","title":"Spatio-temporal Explanation for Adversarial-Aware Cloud Vision AI Services","year":2025,"lang":"en","type":"article","venue":"","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Adversarial system; Cloud computing; Computer science; Artificial intelligence; Computer security; Computer vision; Operating system","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":[0.001975284,0.0007022454,0.000546194,0.000848206,0.000558596,0.001648036,0.001485721,0.001187323,0.002971054],"category_scores_gemma":[0.01136621,0.0003129522,0.0009685069,0.0005059058,0.001370911,0.002756133,0.002912421,0.002261105,0.0004285325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001495661,"about_ca_system_score_gemma":0.001792304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007504128,"about_ca_topic_score_gemma":0.006537085,"domain_scores_codex":[0.9985134,0.0004731291,0.00009237045,0.0002380483,0.0005134842,0.0001695106],"domain_scores_gemma":[0.9946612,0.00241125,0.0007154729,0.001232478,0.0007674451,0.0002123034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004455496,0.0001365089,0.007944026,0.0003339704,0.0002131775,0.00112466,0.001082928,0.6123084,0.01507288,0.1906315,0.006330761,0.1643757],"study_design_scores_gemma":[0.000006582438,0.000025134,0.0004906221,0.00001712625,0.00001478829,0.0001105596,0.00007689792,0.9578705,0.002020574,0.03754858,0.001802533,0.00001626369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02212869,0.0002809369,0.9729813,0.0009825828,0.00005106755,0.000111635,0.000169056,0.0008851287,0.002409531],"genre_scores_gemma":[0.8301883,0.0003945417,0.1661511,0.000304443,0.00008268317,0.00008510158,0.000389111,0.0001635643,0.002241169],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007504128,"threshold_uncertainty_score":0.01492089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007076239481570051,"score_gpt":0.295840866580159,"score_spread":0.2887646270985889,"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."}}