{"data":{"id":"7ce9a130-e234-4501-92db-ccfd20b99127","title":"Learning Generalizable Representations for Deepfake Detection With Realistic Sample Generation and Dual Augmentation","summary":"Researchers propose RSG-DA, a framework for deepfake detection that targets poor generalization to unknown images and novel forgery types. It combines a Dynamic Landmark Diffusion Generator that synthesizes hybrid forgery samples, a Dual Data Augmentation strategy, and a Lightweight Generic Forgery Distillation module. Experiments report consistent gains over state-of-the-art methods in intra-dataset and cross-dataset evaluations.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11297777","publishedAt":"2025-12-11T13:17:30.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"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":"2025-12-11T13:17:30.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}