Abstract: Highlights•Analyzed the challenges in Deepfake detection under complex real-world scenarios.•Reduce high-level semantics learning in Deepfake detection to enhance robustness.•Adversarial learning & distillation for improved generalization capability.•Achieves SOTA performance; also effective on Face Anti-Spoofing.
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