Privacy-Preserving Language Models

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  1. SIEVE: Selective attention-value Suppression for Vision-Language Models Unlearning

    Oct 1, 2026Si Qi Goh, Cap Dang Xuan Kiet, Tat-Jen Cham +1VLM UnlearningPrivacy-Preserving Language Models

  2. Is Weight Tying Still Beneficial for Decoder-Only LLMs in Private Settings Under DP-SGD?

    Sep 30, 2026Razan El Mais, Ali Chehab, Ibrahim Issa +1Privacy-Preserving Language ModelsDifferentially Private Stochastic Gradient Descent

  3. PrivMeSA: Privacy-Aware Self-Evolving Multi-Agent System for Medicine via Local-Remote LLM Collaboration

    Sep 29, 2026Dannong Wang, Yuran Zhang, Bian Sun +4Multi-Agent LLM SystemsPrivacy-Preserving Language Models

  4. "Nothing to See Here'': Unintended Disclosure through Revision Traces of LLM Deliverables

    Sep 28, 2026Yage Zhang, Yukun Jiang, Yang ZhangPrivacy-Preserving Language ModelsLLM Auditing

  5. ASIRF: An Agentic Framework for Context-Dependent Sensitive Information Redaction

    Sep 24, 2026Sudha Priyadarshini, Mohamed Chahine GhanemPrivacy-Preserving Language ModelsLLM Agents

  6. Differentially Private Semantic Plans for Aggregate Insight Generation

    Sep 14, 2026Behrooz RazeghiPrivacy-Preserving Language ModelsPrivacy-Preserving ML

  7. SpliTEE: Fast and Private LLM Inference by Coupling GPU-Assisted Trusted Execution Environments with Differential Privacy

    Sep 14, 2026Shashie Dilhara Batan Arachchige, Robin Carpentier, Hassan Jameel Asghar +1Privacy-Preserving Language ModelsSplit Inference

  8. Semantic-TVM: Structure-Preserving Trustworthy Virtual Memory for Memory-Augmented and Tool-Using Agents

    Sep 14, 2026Yu Li, Qikun Cai, Tao Huang +1Agent MemoryPrivacy-Preserving Language Models

  9. On-Device Language Models for Privacy-Preserving Stress Prediction: A Multimodal Evaluation on Mobile Health

    Sep 14, 2026Ibukunoluwa Soyebo, Alyssa Donawa, Rodrigo Aguilar Barrios +2On-Device Language Model InferencePrivacy-Preserving Language Models

  10. Component-Aware Differential Privacy for Federated Multilingual Speech-LLMs

    Sep 11, 2026Jordi Luque, Fernando López, Aleix SantPrivacy-Preserving Language ModelsDifferentially Private Federated Learning

  11. On the Impact of Anonymization on the Performance of Large Language Models

    Sep 10, 2026Tobias Deußer, Max Hahnbück, Lorenz Sparrenberg +3LLM EvaluationPrivacy-Preserving Language Models

  12. Privacy-Preserving Split Learning for Federated LLM Fine-Tuning

    Sep 9, 2026Heng Jin, Chaoyu Zhang, Hexuan Yu +2Privacy-Preserving Language ModelsSplit Federated Learning

  13. BIO-MEMART: Biometric-Aware KV Cache Memory for Multi-User LLM Agents

    Sep 8, 2026Yanhong Qian, Xuanying He, Qingguo Meng +3Agent MemoryPrivacy-Preserving Language Models

  14. HEAT: Faster Fully Homomorphic Inference via Approximations-Weights Co-Adaptation

    Sep 1, 2026Alessandro Zirilli, Davide Marincione, Evgenios M. Kornaropoulos +2Privacy-Preserving Language ModelsHomomorphic Encryption

  15. The Privacy-Hallucination Tradeoff in Differentially Private Language Models

    Aug 31, 2026Krithika Ramesh, Krishna Pillutla, Danish Pruthi +1Privacy-Preserving Language ModelsHallucination in Language Models

  16. GRASP: Reinforcing Language Model Anonymizers with Group Relative Policy Optimization

    Aug 6, 2026Sajjad Ghiasvand, Nader SehatbakhshOn-Device Language Model InferencePrivacy-Preserving Language Models

  17. Noise-Aware Shrinkage for Differentially Private Zeroth-Order Fine-Tuning of Large Language Models

    Aug 4, 2026Lele Zheng, Weifeng Kong, Xinyi Zhang +3Memory-Efficient Fine-TuningPrivacy-Preserving Language Models

  18. DP-MemView: A Memory Interface for Attribute-Level Transcript Privacy in Long-Term LLM Agents

    Aug 4, 2026Jong Wook Kim, Byoungjae Min, Kennedy Edemacu +3Privacy-Preserving Language ModelsLLM Agent Memory

  19. TextCloak: Thwarting Unauthorized LLM Exploitation via RL-Driven Unlearnable Text

    Jul 30, 2026Chengshuai Zhao, Pingchuan Ma, Dawei Li +4Privacy-Preserving Language ModelsUnlearnable Examples

  20. PromptGraph: Graph-Guided Prompt Sanitization for Balancing Privacy and Utility in LLM Inference

    Jul 12, 2026Chen Gu, Hui Wan, Donghui Hu +2Privacy-Preserving Language ModelsPrivacy Leakage in Language Models

  21. Measuring the practice of shared-decision making (OPTION12): An Investigation into Open-sourced Smaller LLMs (OS-sLLMs) for Better Privacy and Sustainability

    Jul 7, 2026Tamara Wit, Lifeng Han, Carly Heipon +3Privacy-Preserving Language ModelsSmall Language Models

  22. Selective Disclosure Watermarking for Large Language Models

    Jul 6, 2026Xuyang Chen, Xiang Li, Yangxinyu Xie +1Text WatermarkingPrivacy-Preserving Language Models