Revisiting Cross-Reconstruction for Generalizable Deepfake Detection

arXiv:2610.01544 · cs.CV · Submitted 2026-10-01 · Read on arXiv

cs.CV

Submitted: 2026-10-01

Updated: 2026-10-01

Terminology

• AUC — 23× in this paper · explained in 2 episodes
• Generalization — 17× in this paper · explained in 13 episodes
• Alignment — 9× in this paper · explained in 1 episode
• Transformer — 9× in this paper · explained in 2 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Representation Learning — 6× in this paper · explained in 2 episodes
• Ablation Studies — 3× in this paper · explained in 1 episode
• Ablation study — 3× in this paper · explained in 1 episode
• Contrastive Learning — 3× in this paper · explained in 5 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Latent Space — 3× in this paper · explained in 7 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Latent Representation — 2× in this paper · explained in 2 episodes
• Latent Representations — 2× in this paper · explained in 3 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Area Under the ROC Curve — 1× in this paper
• Average Precision — 1× in this paper
• Consistency — 1× in this paper · explained in 3 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Domain Shift — 1× in this paper · explained in 4 episodes
• Equal Error Rate — 1× in this paper
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Transferability — 1× in this paper · explained in 4 episodes

Sources

• SiT: Self-supervised vIsion Transformer
• The DeepFake Detection Challenge (DFDC) Dataset
• The Deepfake Detection Challenge (DFDC) Preview Dataset
• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
• Adam: A Method for Stochastic Optimization
• Face X-ray for More General Face Forgery Detection
• Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection
• DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection

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