{"data":{"id":"253dcb0b-eed5-4d68-8a2e-b87dc4837d24","title":"Bridging Black-Box and No-Box: Embedding Reconstruction Attacks on Deep Recognition Systems","summary":"Researchers discovered that deep neural networks (DNNs, a type of AI used for face and voice recognition) are vulnerable to embedding reconstruction attacks (ERAs, where attackers recover the original biometric data from the compressed numerical representation that the system stores). This attack works even when attackers have very limited access to the system, such as only seeing yes/no decisions or final scores, which is common in real-world commercial APIs.","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":"info","attackType":["data_extraction","model_theft"],"issueType":"research","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":"2026-05-12T13:17:03.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["confidentiality"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.92,"researchCategory":"peer_reviewed","atlasIds":null}}