{"data":{"id":"39c88776-3b48-4a7f-911d-3788a4d91ddd","title":"Spectral Unlearning: Transformer Structure-Preserving Updates for Language Models","summary":"Spectral unlearning is an update framework that combines standard LLM unlearning objectives with matrix-structured optimization, so the update respects the matrix structure of transformer weights rather than treating each scalar coordinate independently. The authors show the spectral update is the steepest-descent direction for transformers built from linear layers with normalized inputs and outputs. Across memorization, privacy and utility, summarized by their harmonic mean, it consistently outperforms a broad range of baselines and closes most of the gap to a retain-trained reference.","solution":"N/A -- no mitigation discussed in source.","labels":["research","safety"],"sourceUrl":"https://arxiv.org/abs/2611.11902v1","publishedAt":"2026-11-09T05:20:52.000Z","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":"2026-11-09T05:20:52.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":"model","llmSpecific":true,"classifierConfidence":0.9,"researchCategory":"preprint","atlasIds":null}}