{"data":{"id":"817f4b99-9044-4e9c-bd7b-fe66a76eb56c","title":"Poster: A Preliminary Study of LLM Distillation Inference","summary":"This poster presents a preliminary study of distillation inference, a method for determining whether a suspect model was distilled from a proprietary teacher LLM or trained independently. The approach frames the question as a hypothesis test, using shadow models trained on either teacher reasoning traces or reference answers to calibrate a p-value from how closely the suspect predicts the teacher's reasoning outputs. Using Qwen2.5-7B as the teacher and Llama-3.2-3B for the suspects, the test achieves a true positive rate of 1.0 at a significance level of 0.02.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"https://arxiv.org/abs/2610.12137v1","publishedAt":"2026-10-08T15:24:29.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["model_theft"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":["Qwen2.5-7B","Llama-3.2-3B"],"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":"2026-10-08T15:24:29.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality"],"aiComponentTargeted":"model","llmSpecific":true,"classifierConfidence":0.9,"researchCategory":"preprint","atlasIds":null}}