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

arXiv:2607.28959v2 Announce Type: replace-cross Abstract: Adversarial training is one of the most effective defenses against adversarial attacks, yet the computational cost remains prohibitive at modern scales, especially for large language models (LLMs). Whil