Short-length Adversarial Training Helps LLMs Defend Long-length Jailbreak Attacks: Theoretical and Empirical Evidence

Fuente: arXiv

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Bibliographic Details
Main Authors:	Fu, Shaopeng, Ding, Liang, Zhang, Jingfeng, Wang, Di
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Cryptography and Security
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2502.04204