@inproceedings{zhu-etal-2025-reasoning,
    title = "Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking",
    author = "Zhu, Junda  and
      Yan, Lingyong  and
      Wang, Shuaiqiang  and
      Yin, Dawei  and
      Sha, Lei",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.emnlp-main.1493/",
    pages = "29331--29349",
    ISBN = "979-8-89176-332-6"
}