{"data":{"id":"1388d429-887f-4b0c-9c11-80410d9e5f0a","title":"Veil-Then-Reveal: Protecting PII Privacy via Reversible Pseudo-Anonymization in Zero-Trust User--LLM Interaction","summary":"Veil-then-Reveal (VtR) is a user-side framework that pseudo-anonymizes PII in prompts before they reach untrusted remote LLM providers, keeping plaintext PII on the user's device. It combines format-preserving encryption for structured PII, such as phone and credit-card numbers, with a keyed-hash dictionary and secure vault for semantic PII, such as names and organizations. On three datasets with 11,322 annotated PII instances, it reports 97.9% detection recall, 95.2% protection of detected values, and 99.9% round-trip restoration.","solution":"N/A -- no mitigation discussed in source.","labels":["privacy","research"],"sourceUrl":"https://arxiv.org/abs/2610.22800v1","publishedAt":"2026-10-16T01:24:42.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":["LLM providers (generic remote LLMs)"],"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":"2026-10-16T01:24:42.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality"],"aiComponentTargeted":"api","llmSpecific":true,"classifierConfidence":0.9,"researchCategory":"preprint","atlasIds":null}}