{"data":{"id":"4c8169db-da24-4f33-ae1e-3ac00badf075","title":"Trident: Detecting Face Forgeries With Domain-Adversarial Triplet Learning","summary":"Trident is a face forgery detection framework that uses triplet learning in a Siamese network to generalize to forgery methods it was not trained on. It adds domain-adversarial training with a forgery discriminator to learn forgery-agnostic embeddings, and blocks gradient flow from the classifier head to the embedding model to reduce overfitting to forgery-specific artifacts. The authors report effectiveness across multiple benchmarks and ablation studies.","solution":"N/A -- no mitigation discussed in source.","labels":["research","security"],"sourceUrl":"http://ieeexplore.ieee.org/document/11563481","publishedAt":"2026-06-15T14:11:42.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"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":"2026-06-15T14:11:42.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}