{"data":{"id":"e55360e3-179c-4016-8852-fb4b0b36a8af","title":"Zero-Knowledge Proof-Based IP Protection of Visual Large Models of Autonomous Driving","summary":"This paper proposes zk-DeepIP, an intellectual property protection framework for Visual Large Models used in autonomous driving, built on zero-knowledge proof technology. Its model fingerprinting method adds a prior-knowledge-free sample discrimination module that weights samples near decision boundaries, which the authors report raises the average AUC by 0.03 on CIFAR-10 across attacks, datasets and models, and by 0.12 in transfer learning scenarios on CIFAR-100 and CIFAR10-c. The verification protocol keeps both perception models and their test cases private during IP checks.","solution":"N/A -- no mitigation discussed in source.","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,"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":"2026-07-23T13:16:52.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["confidentiality","integrity"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}