{"data":{"id":"e55360e3-179c-4016-8852-fb4b0b36a8af","title":"Zero-Knowledge Proof-Based IP Protection of Visual Large Models of Autonomous Driving","summary":"Visual Large Models (VLMs, AI systems that understand images and are used in self-driving cars) need protection from intellectual property theft, but traditional methods like watermarking hurt their performance. This paper proposes a new protection framework using zero-knowledge proof (a technique that proves something is true without revealing the actual information), which includes a fingerprinting method that improves the ability to detect stolen models without harming the AI's ability to perceive traffic scenes, and a verification protocol called zk-DeepIP that protects both the model and test data from leakage during verification.","solution":"The paper proposes two components: a model fingerprinting method that assigns higher weights to high-discriminability samples near decision boundaries using cross-entropy loss to generate enhanced fingerprints, and the zk-DeepIP protocol, which is an IP verification protocol underpinned by zero-knowledge proof technology that ensures robust security while remaining compatible with existing IP verification methods.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11622595","publishedAt":"2026-07-23T13:16:52.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["model_theft"],"issueType":"research","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":[],"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":"2026-07-23T13:16:52.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["confidentiality","integrity"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}