{"data":{"id":"69372045-481d-4466-b861-604486cc94bb","title":"mmGuard: A Countermeasure Against Physical Adversarial Attacks on mmWave Radar Sensing","summary":"This paper presents mmGuard, a physics-based defense against physical adversarial attacks (PAAs) on millimeter-wave radar used in autonomous driving and security checking. It detects attacks by identifying spatial phase discontinuities, anomalous radar cross-section patterns, and violations of physico-kinematic relationships, and the authors report over 90% detection accuracy on mmAD, a dataset of over 110,000 annotated radar frames.","solution":"mmGuard performs per-object attack detection and mitigation, compatible with automotive radar update rates, and uses few-shot adaptation to calibrate to unseen settings.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11541221","publishedAt":"2026-06-01T13:17:32.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["model_evasion"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","headline":null,"headlinePromptVersion":null,"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"advisoryAliases":null,"affectedPackagesSource":null,"affectedPackagesCheckedAt":null,"patchAvailable":null,"disclosureDate":"2026-06-01T13:17:32.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity","safety"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}