{"data":{"id":"404b9df4-02e3-4439-a315-008928b23175","title":"TFMD: General and Fast Secure Neural Network Inference Framework With Threshold FHE","summary":"TFMD is a secure neural network inference framework built on threshold fully homomorphic encryption, designed to protect model parameters and user inputs. Its protocols support any number n of participants and tolerate up to n-1 corrupted parties under semi-honest security, while computing linear functions with coefficient encoding and ReLU with a proposed protocol. In a three-party setting, its online phase is reported as 2.1 times faster than CrypTFlow (S&P'20).","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11480171","publishedAt":"2026-04-13T13:17:12.000Z","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":"2026-04-13T13:17:12.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["confidentiality"],"aiComponentTargeted":"inference","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}