Author

Yuping Lin

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Preprint Jul 2026

Efficient LLM Adversarial Training via Low-Rank Defense and Circuit-Guided Surrogates

This work comprehensively investigates computation-efficient strategies to speed up latent adversarial training from two complementary perspectives, and reduces per-step adversarial-training FLOPs by 48.1% while requiring only 0.0118% trainable parameters.

Weiyi He, Yuping Lin, Jiliang Tang et al. · 0 citations