{"data":{"id":"61cc2e70-cfda-4609-872b-895b55f555c3","title":"Unveiling Deepfakes: A Frequency-Aware Triple Branch Network for Deepfake Detection","summary":"This research addresses the challenge of detecting deepfakes (synthetic videos or images created by AI to manipulate someone's appearance) by proposing a new detection method called a triple-branch network. The method analyzes images using both spatial features (visual patterns) and frequency features (patterns that emerge when you break down images into their component wavelengths), combined with a mathematical approach based on mutual information theory (a concept measuring how much information one variable reveals about another) to improve detection accuracy across different types of forgeries.","solution":"N/A -- no mitigation discussed in source.","labels":["research","safety"],"sourceUrl":"http://ieeexplore.ieee.org/document/11433701","publishedAt":"2026-03-13T13:17:13.000Z","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":"2026-03-13T13:17:13.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity","safety"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}