Who cites Reza Shokri
- On the Opportunities and Risks of Foundation ModelsRishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,056 citations
- 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
- Extracting Training Data from Large Language ModelsNicholas Carlini, Florian Tramer, Eric Wallace, et al.2020 · 911 citations
- The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural NetworksNicholas Carlini, Chang Liu, Ulfar Erlingsson, et al.2018 · 668 citations
- Red Teaming Language Models with Language ModelsEthan Perez, Saffron Huang, Francis Song, et al.2022 · 666 citations
- Security and Privacy Challenges of Large Language Models: A SurveyBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 422 citations
- "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
- Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defenseKalpesh Krishna, Yixiao Song, Marzena Karpinska, et al.2023 · 304 citations
- LaMP: When Large Language Models Meet PersonalizationAlireza Salemi, Sheshera Mysore, Michael Bendersky, et al.2024 · 239 citations
- Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' AlignmentYang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li2023 · 220 citations
- 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
- Scalable Extraction of Training Data from (Production) Language ModelsMilad Nasr, Nicholas Carlini, Jonathan Hayase, et al.2023 · 197 citations
- Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language ModelsKushal Tirumala, Aram H. Markosyan, Luke Zettlemoyer, et al.2022 · 183 citations
- Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4Kent K. Chang, Mackenzie Cramer, Sandeep Soni, et al.2023 · 166 citations
- Deduplicating Training Data Mitigates Privacy Risks in Language ModelsNikhil Kandpal, Eric Wallace, Colin Raffel2022 · 166 citations
- Large Language Model UnlearningYuanshun Yao, Xiaojun Xu, Yang Liu2023 · 165 citations
- Membership Inference Attacks against Language Models via Neighbourhood ComparisonJustus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, et al.2023 · 162 citations
- Quantifying Privacy Risks of Masked Language Models Using Membership Inference AttacksFatemehsadat Mireshghallah, Kartik Goyal, Archit Uniyal, et al.2022 · 145 citations
- TOFU: A Task of Fictitious Unlearning for LLMsPratyush Maini, Zhili Feng, Avi Schwarzschild, et al.2024 · 133 citations
- Knowledge Unlearning for Mitigating Privacy Risks in Language ModelsJoel Jang, Dongkeun Yoon, Sohee Yang, et al.2022 · 126 citations
- Large Language Model Alignment: A SurveyTianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 123 citations
- How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVENR. Thomas McCoy, Paul Smolensky, Tal Linzen, et al.2023 · 116 citations
- Machine Unlearning of Pre-trained Large Language ModelsJin Yao, Eli Chien, Minxin Du, et al.2024 · 84 citations
- Do Membership Inference Attacks Work on Large Language Models?Michael Duan, Anshuman Suri, Niloofar Mireshghallah, et al.2024 · 80 citations
- 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 LLMsAli Satvaty, Suzan Verberne, Fatih Turkmen2026
- Investigating Memorization in Language Models Trained via Knowledge DistillationMaarten Mäcking, Michaela Regneri2026
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