{"data":{"id":"463baaf6-8929-49a9-a8c9-bb4a320c50de","title":"Distributed Functional Mechanism in Shallow Networks: Differential Privacy Without Gradient Noise","summary":"Researchers propose DFM (Distributed Functional Mechanism), a differentially private training method for shallow single-layer neural networks in multi-user local DP settings. DFM adds calibrated noise to the coefficients of a Taylor-expanded polynomial approximation of the training loss instead of to gradients, as DP-SGD does. In a wireless body area network scenario with heterogeneous data and sensor noise, the authors report up to 10.3% higher reconstruction accuracy than DP-SGD and significantly lower mean training time.","solution":"N/A -- no mitigation discussed in source.","labels":["privacy","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11603444","publishedAt":"2026-07-13T13:17:43.000Z","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":"2026-07-13T13:17:43.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality"],"aiComponentTargeted":"training_data","llmSpecific":false,"classifierConfidence":0.8,"researchCategory":"peer_reviewed","atlasIds":null}}