{"data":{"id":"d0ae8068-d9ba-4429-adc7-7435f65f6097","title":"Detection of Adversarial Attacks on Super-Resolvers Using Spectral Features","summary":"Researchers propose a spectral detection method for finding adversarial attacks embedded in super-resolution model weights, a preprocessing component of imaging pipelines. The method trains an XGBoost detector on the radially-averaged power spectral density and benchmarks it against magnitude- and phase-based Fourier spectrum detectors across training and cross-architecture scenarios. The proposed detector outperforms the comparison detectors in most scenarios, and high-frequency features prove most informative for detecting AdvSR attacks.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"https://arxiv.org/abs/2609.35022v1","publishedAt":"2026-09-28T12:22:08.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["model_poisoning"],"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":"2026-09-28T12:22:08.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.9,"researchCategory":"preprint","atlasIds":null}}