Privacy Leakage in Language Models

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19 papers in the last four weeks, up 58% on the four weeks before. 0.2% of all new papers.

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  1. In Vino Veritas and Vulnerabilities: Examining LLM Safety via Drunk Language Inducement

    Jan 19, 2026Anudeex Shetty, Aditya Joshi, Salil S. KanhereLanguage Model Safety EvaluationAdversarial Attacks on LLMs

    School of Computer Science and Engineering, UNSW Sydney, Australia · School of Computing and Information System, the University of Melbourne, Australia

  2. Towards Benign Memory Forgetting for Selective Multimodal Large Language Model Unlearning

    Nov 25, 2025Zhen Zeng, Leijiang Gu, Zhangling Duan +4VLM UnlearningMultimodal Large Language Models

    Hefei University of Technology, China · Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, China · University of Amsterdam, the Netherlands

  3. User Perceptions vs. Proxy LLM Judges: Privacy and Helpfulness in LLM Responses to Privacy-Sensitive Scenarios

    Oct 23, 2025Xiaoyuan Wu, Roshni Kaushik, Wenkai Li +2LLM EvaluationLLM-as-a-Judge

    Fujitsu Research of America, Inc. · Carnegie Mellon University

  4. Auditing Information Disclosure During Large-Scale Gradient-Based Training via Gradient Uniqueness

    Oct 13, 2025Sleem Abdelghafar, Maryam Aliakbarpour, Christopher JermaineData LeakagePrivacy Auditing

    Rice University Houston, USA

  5. Learning to Erase Private Knowledge from Multi-Documents for Retrieval-Augmented Large Language Models

    Apr 14, 2025Yujing Wang, Jinwen Chen, Hainan Zhang +5Retrieval-Augmented GenerationPrivacy Leakage in Language Models

    Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing School of Artificial Intelligence, Beihang University, China Beijing, China

  6. Mitigating Memorization In Language Models

    Oct 3, 2024Mansi Sakarvadia, Aswathy Ajith, Arham Khan +6Memorization in Language ModelsLLM Fine-Tuning

    University of Chicago · Argonne National Laboratory · Lawrence Berkeley National Laboratory +3

  7. PPFedIT: Towards Privacy-Preserving Federated Instruction Tuning with Few-shot Local Examples

    Mar 10, 2024Zhuo Zhang, Jingyuan Zhang, Jintao Huang +6Privacy Leakage in Language ModelsFew-Shot Learning

    Harbin Institute of Technology, Shenzhen, China · Peng Cheng Lab, Shenzhen, China · Kuaishou, Beijing, China +1

  8. BodhiPromptShield: Pre-Inference Prompt Mediation for Surface-Form Privacy Propagation in LLM Agent Pipelines

    Date pendingBo Ma, Jinsong Wu, Weiqi YanData LeakagePrivacy-Preserving Language Models

    Auckland University of Technology Auckland, New Zealand · Guilin University of Electronic Technology Guilin, China

  9. Demystifying the Privacy-Utility Trade-off in LLM Interactions

    Date pendingZhenhua Liu, Zhanxu Xie, Junjie Yu +3Privacy-Preserving Language ModelsPrivacy Leakage in Language Models

    Soochow University · Beihang University · Suzhou City University +2