🧑‍🔬 Who cites Vitaly Shmatikov

280 citations of their works from 276 papers of our library (of the 141,840 whose bibliographies we read) · 25 with a page here, the most cited first · ← Vitaly Shmatikov

1. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,056 citations
2. A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the UglyarXiv:2312.02003Yifan Yao, Jinhao Duan, Kaidi Xu, et al.2023 · 1,182 citations
3. Extracting Training Data from Large Language ModelsarXiv:2012.07805Nicholas Carlini, Florian Tramer, Eric Wallace, et al.2020 · 911 citations
4. The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural NetworksarXiv:1802.08232Nicholas Carlini, Chang Liu, Ulfar Erlingsson, et al.2018 · 668 citations
   Red Teaming Language Models with Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Ethan Perez, Saffron Huang, Francis Song, et al.2022 · 666 citations
   Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 422 citations
   Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defenseConference on Neural Information Processing Systems (NeurIPS)Kalpesh Krishna, Yixiao Song, Marzena Karpinska, et al.2023 · 304 citations
   LaMP: When Large Language Models Meet PersonalizationAnnual Meeting of the Association for Computational Linguistics (ACL)Alireza Salemi, Sheshera Mysore, Michael Bendersky, et al.2024 · 239 citations
5. Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' AlignmentarXiv:2308.05374Yang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li2023 · 220 citations
6. Scalable Extraction of Training Data from (Production) Language ModelsarXiv:2311.17035Milad Nasr, Nicholas Carlini, Jonathan Hayase, et al.2023 · 197 citations
   Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4Conference on Empirical Methods in Natural Language Processing (EMNLP)Kent K. Chang, Mackenzie Cramer, Sandeep Soni, et al.2023 · 166 citations
7. Deduplicating Training Data Mitigates Privacy Risks in Language ModelsarXiv:2202.06539Nikhil Kandpal, Eric Wallace, Colin Raffel2022 · 166 citations
8. Generative Representational Instruction TuningarXiv:2402.09906Niklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 165 citations
   Large Language Model UnlearningConference on Neural Information Processing Systems (NeurIPS)Yuanshun Yao, Xiaojun Xu, Yang Liu2023 · 165 citations
   Membership Inference Attacks against Language Models via Neighbourhood ComparisonFindings of the Association for Computational LinguisticsJustus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, et al.2023 · 162 citations
   Quantifying Privacy Risks of Masked Language Models Using Membership Inference AttacksConference on Empirical Methods in Natural Language Processing (EMNLP)Fatemehsadat Mireshghallah, Kartik Goyal, Archit Uniyal, et al.2022 · 145 citations
9. TOFU: A Task of Fictitious Unlearning for LLMsarXiv:2401.06121Pratyush Maini, Zhili Feng, Avi Schwarzschild, et al.2024 · 133 citations
10. Knowledge Unlearning for Mitigating Privacy Risks in Language ModelsarXiv:2210.01504Joel Jang, Dongkeun Yoon, Sohee Yang, et al.2022 · 126 citations
    How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVENTransactions of the Association for Computational Linguistics (TACL)R. Thomas McCoy, Paul Smolensky, Tal Linzen, et al.2023 · 116 citations
    Machine Unlearning of Pre-trained Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jin Yao, Eli Chien, Minxin Du, et al.2024 · 84 citations
11. Do Membership Inference Attacks Work on Large Language Models?arXiv:2402.07841Michael Duan, Anshuman Suri, Niloofar Mireshghallah, et al.2024 · 80 citations
12. Step-by-step Instructions and a Simple Tabular Output Format Improve the Dependency Parsing Accuracy of LLMsHiroshi Matsuda, Chunpeng Ma, Masayuki Asahara2025 · 2 citations
    EL-MIA: Quantifying Membership Inference Risks of Sensitive Entities in LLMsLanguage Resources and Evaluation Conference (LREC)Ali Satvaty, Suzan Verberne, Fatih Turkmen2026
    Investigating Memorization in Language Models Trained via Knowledge DistillationLanguage Resources and Evaluation Conference (LREC)Maarten Mäcking, Michaela Regneri2026
    Tree-Based Interview Topic Guidance for Collecting Target Information under Adaptive Topic continuation/switchingAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Fuminori Nagasawa, Ekai Hashimoto, Shun Shiramatsu2026

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