@inproceedings{puerto-etal-2025-scaling,
    title = "Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models",
    author = "Puerto, Haritz  and
      Gubri, Martin  and
      Yun, Sangdoo  and
      Oh, Seong Joon",
    editor = "Chiruzzo, Luis  and
      Ritter, Alan  and
      Wang, Lu",
    booktitle = "Findings of the Association for Computational Linguistics: NAACL 2025",
    month = apr,
    year = "2025",
    address = "Albuquerque, New Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2025.findings-naacl.234/",
    pages = "4165--4182",
    ISBN = "979-8-89176-195-7"
}