{"data":{"id":"9e60411e-e066-4ee4-91f1-9b82b39225f5","title":"Soft Error Rate Evaluation and Silent Data Corruption Detection for Reliable TFHE Computations on GPUs","summary":"This research evaluates how often cosmic ray-induced errors (soft errors, which are random bit flips caused by radiation) occur in GPU-based fully homomorphic encryption (FHE, a technique that lets computers perform calculations on encrypted data without decrypting it first). The study finds these errors happen at a rate of 7.80 FIT (Failures In Time, meaning 7.80 errors per billion hours of operation) and estimates that large matrix multiplication operations could have a 1.6% chance of silent data corruption (SDC, when errors occur but go undetected). To address this problem, the researchers propose using logic circuit-level redundancy (duplicating parts of the computation to check for errors) to detect nearly all silent data corruptions.","solution":"One proposed method 'leverages logic circuit-level redundancy, can detect nearly all SDCs, at the cost of reducing throughput to around 50%.'","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11614168","publishedAt":"2026-07-17T13:20:09.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"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":"2026-07-17T13:20:09.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity","availability"],"aiComponentTargeted":"inference","llmSpecific":false,"classifierConfidence":0.78,"researchCategory":"peer_reviewed","atlasIds":null}}