{"data":{"id":"7db4aa4e-f7d2-4c95-ae49-522d53260ad9","title":"Source Camera Model Identification via Federated Learning Using Laplacian-Based Patches","summary":"This research proposes FedFFTNet, a system for identifying which camera model took a photo by using federated learning (a technique where AI models train on data kept private across multiple devices rather than sharing raw data centrally). The system uses a lightweight deep learning architecture and a Laplacian-based patch selection strategy (focusing on sharp, detailed areas of images) to identify cameras while maintaining privacy, achieving very high accuracy rates on standard benchmark datasets.","solution":"N/A -- no mitigation discussed in source.","labels":["research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11229953","publishedAt":"2025-11-05T13:17:18.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"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":"2025-11-05T13:17:18.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.75,"researchCategory":"peer_reviewed","atlasIds":null}}