Combining adversarial training with diffusion reconstruction error (DIRE) substantially improves face-generator detector accuracy under PGD attacks, but only the training attack is tested.
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Robustness in AI-Generated Detection: Enhancing Resistance to Adversarial Attacks
Combining adversarial training with diffusion reconstruction error (DIRE) substantially improves face-generator detector accuracy under PGD attacks, but only the training attack is tested.