A Novel Unified Approach to Deepfake Detection

arXiv:2601.03382 · cs.CV · Submitted 2026-01-06 · Read on arXiv

cs.CV

Submitted: 2026-01-06

Updated: 2026-09-27

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Transformer — 18× in this paper · explained in 2 episodes
AUC — 7× in this paper · explained in 2 episodes
Attention Mechanism — 5× in this paper · explained in 2 episodes
Accuracy — 3× in this paper · explained in 1 episode
Cross-Attention Mechanism — 3× in this paper · explained in 2 episodes
Class Token Refinement Module — 2× in this paper
Cross-Stream Attention Fusion — 2× in this paper
Discrete Fourier Transform — 2× in this paper
Embeddings — 2× in this paper · explained in 2 episodes
Activation Function — 1× in this paper · explained in 1 episode
Adaptation — 1× in this paper · explained in 1 episode
Aggregation — 1× in this paper · explained in 1 episode
Consistency — 1× in this paper · explained in 3 episodes
Domain Adaptation — 1× in this paper · explained in 5 episodes
Downstream Tasks — 1× in this paper · explained in 2 episodes
Feature Extraction — 1× in this paper · explained in 2 episodes
Interpretability — 1× in this paper · explained in 15 episodes
Local Binary Patterns — 1× in this paper
Robustness — 1× in this paper · explained in 5 episodes
Trace — 1× in this paper · explained in 2 episodes
Verification — 1× in this paper · explained in 2 episodes

Sources

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