{"data":{"id":"fd3e9ac1-59b4-410f-9c0a-e1b8911a2dec","title":"Privacy Leakage from Recurrent State in LLM Inference","summary":"Researchers study whether private information retained in the fixed-size recurrent state of latent-state LLMs can leak. Using partial-state probing and GPU power observation on released hybrid implementations, they find that a small state observation predicts private facts and response rules, that this information survives public dialogue, and that complete-read power can recover private facts under a fixed execution schedule. An unprivileged account on a partitioned GPU also inferred a user's age from whole-device power during public requests.","solution":"N/A -- no mitigation discussed in source.","labels":["security","privacy"],"sourceUrl":"https://arxiv.org/abs/2611.16048v1","publishedAt":"2026-11-11T21:57:21.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"medium","attackType":["data_extraction","pii_leakage"],"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":"2026-11-11T21:57:21.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["confidentiality"],"aiComponentTargeted":"inference","llmSpecific":true,"classifierConfidence":0.93,"researchCategory":"preprint","atlasIds":null}}