{"data":{"id":"372c9133-347f-44cd-b173-62c9b2e62123","title":"Characterizing Statistical Separability in TP-CRIV for Probabilistic AI Models","summary":"This paper characterizes statistical separability in third-party challenge-response identity verification (TP-CRIV) for probabilistic AI models, where repeated queries can yield different outputs. It relates challenge-wise behavior of matching and non-matching provers to verification-level separability, showing how the numbers of independent challenges and repeated responses affect detection performance and how the verification budget for a target AUC can be estimated. The approach is instantiated for LLMs with open-ended challenges, with experiments reporting close agreement between theoretical and empirical AUCs.","solution":"N/A -- no mitigation discussed in source.","labels":["research","security"],"sourceUrl":"https://arxiv.org/abs/2610.11163v1","publishedAt":"2026-10-08T03:22:59.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"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":"2026-10-08T03:22:59.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":"model","llmSpecific":true,"classifierConfidence":0.85,"researchCategory":"preprint","atlasIds":null}}