[KongchangAI]
Unverified50% confidenceFactExact time

Adversarial training (AT) improves model robustness by generating adversarial examples during training and including them in training, but it incurs enormous memory overhead and involves a trade-off between clean accuracy and robust accuracy.

1
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50%
Confidence
Long-term
Relevance
10/30/2026
First Seen

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