{"data":{"id":"0acd2df2-3601-47df-a0f2-55976dabaa77","title":"PROTheft: A Projector-Based Model Extraction Attack in the Physical World","summary":"PROTheft is a model extraction attack that extends digital-domain attacks to vision-based devices in the physical world. An attacker uses a projector placed in front of the on-board camera to feed attack samples to a black-box target, and a simulation module compensates for detail loss in the digital-to-physical-to-digital transformation. On a public autonomous driving dataset, the authors report over 80% fidelity with the target model and an mAP 50 above 0.85.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11373280","publishedAt":"2026-02-06T13:33:09.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["model_theft"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":["vision-based ML systems","autonomous driving models"],"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":"2026-02-06T13:33:09.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["confidentiality"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":"peer_reviewed","atlasIds":null}}