{"data":{"id":"9769ecd0-bef1-492a-ade1-78fef58963ef","title":"3DGAA: Realistic and Robust 3D Gaussian-Based Adversarial Attack for Autonomous Driving","summary":"Researchers present 3DGAA, a framework for physical adversarial attacks on camera-based perception in autonomous vehicles. It uses 3D multi-view optimization with a 3D Gaussian splatting surrogate to produce print-only vehicle wraps that keep geometry unchanged. In CARLA simulations and miniature-vehicle tests, the wraps substantially reduced detection confidence and average precision across multiple modern detectors.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11674283","publishedAt":"2026-09-01T13:17:12.000Z","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":"2026-09-01T13:17:12.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity","safety"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.93,"researchCategory":"peer_reviewed","atlasIds":null}}