@inproceedings{nagireddy-etal-2025-damager,
    title = "{DAMAG}e{R}: Deploying Automatic and Manual Approaches to {G}en{AI} Red-teaming",
    author = "Nagireddy, Manish  and
      Feffer, Michael  and
      Baldini, Ioana",
    editor = "Lomeli, Maria  and
      Swayamdipta, Swabha  and
      Zhang, Rui",
    booktitle = "Proceedings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 5: Tutorial Abstracts)",
    month = may,
    year = "2025",
    address = "Albuquerque, New Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/Author-page-Marten-During-lu/2025.naacl-tutorial.2/",
    pages = "10--14",
    ISBN = "979-8-89176-193-3",
    abstract = "In this tutorial, we will review and apply current automatic and manual red-teaming techniques for GenAI models(including LLMs and multimodal models). In doing so, we aim to emphasize the importance of using a mixture of techniques and establishing a balance between automatic and manual approaches. Lastly, we aim to engage tutorial participants in live red-teaming activities to collaboratively learn impactful red-teaming strategies and share insights."
}