{"data":{"id":"a4e8f1ba-d354-4f0a-89e3-00f9331f0f0e","title":"Adversarial Semantic and Label Perturbation Attack for Pedestrian Attribute Recognition","summary":"This research paper explores vulnerabilities in Pedestrian Attribute Recognition (PAR), a computer vision task that identifies characteristics of people in images using AI models. The authors developed both adversarial attacks (methods to fool the system with manipulated images) and a defense strategy called semantic offset defense to protect PAR systems, testing their approach on multiple datasets.","solution":"The paper proposes a semantic offset defense strategy to suppress the influence of adversarial attacks on pedestrian attribute recognition systems. Source code is made available at https://github.com/Event-AHU/OpenPAR.","labels":["research","security"],"sourceUrl":"http://ieeexplore.ieee.org/document/11430632","publishedAt":"2026-03-12T13:16:46.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["model_evasion"],"issueType":"research","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":["CLIP"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":"2026-03-12T13:16:46.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}