{"data":{"id":"52105c91-742c-4cb6-9417-7366d666b00a","title":"Stealthy Physical Adversarial Attacks on Speaker Recognition via Near-Ultrasonic Perturbations","summary":"AdvNup is a physical adversarial attack that spoofs deep neural network speaker recognition systems using near-ultrasonic perturbations played through commercial off-the-shelf speakers, avoiding the specialized hardware that earlier ultrasound attacks required. The authors use single-sideband modulation with low-pass filtering, a nonlinear frequency response model, and time-frequency masking to keep the adversarial signal intact through physical transmission. In simulated and physical experiments, it reached a 100% attack success rate for closed-set identification and over 90% for open-set identification in targeted attacks.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11711190","publishedAt":"2026-09-28T05:06:05.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"low","attackType":["model_evasion"],"issueType":"research","affectedPackages":null,"affectedPackageNames":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":"2026-09-28T05:06:05.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":"peer_reviewed","atlasIds":null}}