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Longchen Dai

2 accepted papers

2026

CLIP-FTI: Fine-Grained Face Template Inversion via CLIP-Driven Attribute Conditioning

AAAI 2026technical

Face recognition systems store face templates for efficient matching. Once leaked, these templates pose a threat: inverting them can yield photorealistic surrogates that compromise privacy and enable impersonation. Although existing research has achieved relatively realistic face template inversion,

Cited by 0SourcePDFScholar
2026

Fine-Grained DINO Tuning with Dual Supervision for Face Forgery Detection

AAAI 2026technical

The proliferation of sophisticated deepfakes poses significant threats to information integrity. While DINOv2 shows promise for detection, existing fine-tuning approaches treat it as generic binary classification, overlooking distinct artifacts inherent to different deepfake methods. To address this

Cited by 0SourcePDFScholar