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====== Membership Inference ======
===== Overviews =====
  * [[https://arxiv.org/pdf/2103.07853.pdf|Hu et al 2021 - Membership Inference Attacks on Machine Learning: A Survey]]

===== In NLP =====
  * **In LLMs**
    * [[https://arxiv.org/pdf/1811.00513.pdf|Song & Shmatikov 2018 - Auditing Data Provenance in Text-Generation Models]] Membership inference attack for language models
    * [[https://arxiv.org/pdf/2310.16789.pdf|Shi et al 2023 - Detecting Pretraining Data from Large Language Models]]
    * [[https://arxiv.org/pdf/2402.07841.pdf|Duan et al 2024 - Do Membership Inference Attacks Work on Large Language Models?]]
    * [[https://arxiv.org/pdf/2403.0480|Kassem et al 2024 -  Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMs]]
    * [[https://www.arxiv.org/pdf/2505.18773|Hayes et al 2025 - Strong Membership Inference Attacks on Massive Datasets and (Moderately) Large Language Models]]
  * **Seq2seq**
    * [[https://aclanthology.org/2020.tacl-1.4.pdf|Hisamoto et al 2020 - Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System?]]
  * **In general**
    * [[https://arxiv.org/pdf/2112.03570.pdf|Carlini et al 2021 - Membership Inference Attacks From First Principles]]


===== Related Pages =====
  * [[Privacy]]
  * [[nlp:language_model#Extracting Knowledge from Language Models]]