{"data":{"id":"253dcb0b-eed5-4d68-8a2e-b87dc4837d24","title":"Bridging Black-Box and No-Box: Embedding Reconstruction Attacks on Deep Recognition Systems","summary":"This paper introduces an Embedding Reconstruction Attack (ERA) framework for DNN-based face and speaker recognition systems, covering a four-tier taxonomy of adversary access from score-only and decision-only interfaces down to no-query/no-feedback scenarios. Using Stable Diffusion for faces and flow-matching transformers for voices, the reconstructors achieve 93.27%, 82.60%, and 62.29% success for Tiers 1–3 under identical query budgets, outperforming existing black-box attacks. The authors prove Tier 4 is infeasible under their threat model, and find compressed (pruned, quantized, distilled) models remain at high risk.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11515086","publishedAt":"2026-05-12T13:17:03.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"low","attackType":["model_evasion"],"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":"2026-05-12T13:17:03.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["confidentiality"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.9,"researchCategory":"peer_reviewed","atlasIds":null}}