{"data":{"id":"0d830b2b-65e3-4978-ba3d-81d4f45d0be1","title":"Cert-SSBD: Certified Backdoor Defense With Sample-Specific Smoothing Noises","summary":"Cert-SSBD is a certified backdoor defense for deep neural networks that replaces fixed randomized smoothing noise with sample-specific noise magnitudes, optimized per sample via stochastic gradient ascent. The method retrains several smoothed models on multiple poisoned training sets and aggregates their predictions, and it introduces a storage-update-based certification method to handle the varying noise. The authors report effectiveness on multiple benchmark datasets and provide code at https://github.com/NcepuQiaoTing/Cert-SSBD.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11409406","publishedAt":"2026-02-24T13:17:14.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["other"],"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":"2026-02-24T13:17:14.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":"peer_reviewed","atlasIds":null}}