{"data":{"id":"9e8e9a47-b8fc-4a83-b92d-c3053f34a2cf","title":"Privacy-Preserving Automated Deep Learning for Secure Inference Service","summary":"The paper presents 2PCAutoDL, a privacy-preserving automated deep learning scheme that searches DNN architectures on encrypted data using two non-colluding cloud servers. Its optimized secure protocols report 1.34x to 2.05x speedups for linear layers and 1.33x to 45x for non-linear layers, plus a Softmax approximation with slightly higher accuracy. Under the semi-honest adversary model, searched models improve inference accuracy by 0.6% on MNIST and 0.5% on CIFAR-10 over state-of-the-art PrivAutoDL.","solution":"N/A -- no mitigation discussed in source.","labels":["research","privacy"],"sourceUrl":"http://ieeexplore.ieee.org/document/11177552","publishedAt":"2025-09-24T13:19:02.000Z","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":null,"fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["confidentiality"],"aiComponentTargeted":"inference","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}