🔗 Who cites «Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks»

53 papers of our library cite it (of the 141,840 whose bibliographies we read) · 8 with a page here, the most cited first · ← the paper

1. A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the UglyYifan Yao, Jinhao Duan, Kaidi Xu, et al.2023 · 1,182 citations
2. Security and Privacy Challenges of Large Language Models: A SurveyBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 422 citations
3. "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language ModelsXinyue Shen, Zeyuan Chen, Michael Backes, et al.2023 · 320 citations
4. Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language ModelsNeha Sengupta, Sunil Kumar Sahu, Bokang Jia, et al.2023 · 217 citations
5. Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language ModelsKushal Tirumala, Aram H. Markosyan, Luke Zettlemoyer, et al.2022 · 183 citations
6. Membership Inference Attacks against Language Models via Neighbourhood ComparisonJustus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, et al.2023 · 162 citations
7. Large Language Model Alignment: A SurveyTianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 123 citations
8. Do Membership Inference Attacks Work on Large Language Models?Michael Duan, Anshuman Suri, Niloofar Mireshghallah, et al.2024 · 80 citations

45 more papers of our library cite it; they have no page here yet.

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