{"data":{"id":"0df20891-b683-4402-80d0-4dd2b48d7dff","title":"A Fine-Tuning Data Recovery Attack on Generative Language Models via Backdooring","summary":"Researchers present Lure, a backdoor-based data recovery attack on generative language models. By injecting a backdoor into the source code of an open-source GLM, an adversary can make the model memorize fine-tuning data and regenerate it via crafted hash prompts. Evaluations report a 45%-68% data recovery rate while the attack remains stealthy and evades existing defenses.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11422005","publishedAt":"2026-03-05T13:17:20.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["data_extraction","supply_chain"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":["generative language models (GLMs)"],"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":"2026-03-05T13:17:20.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["confidentiality","integrity"],"aiComponentTargeted":"training_data","llmSpecific":true,"classifierConfidence":0.95,"researchCategory":"peer_reviewed","atlasIds":["AML.T0010"]}}