Data-Free Privacy-Preserving for LLMs via Model Inversion and Selective Unlearning
Authors: Xinjie Zhou, Zhihui Yang, Lechao Cheng, Sai Wu, Gang Chen | Published: 2026-01-22
Privacy Protection
NeuroFilter: Privacy Guardrails for Conversational LLM Agents
Authors: Saswat Das, Ferdinando Fioretto | Published: 2026-01-21
PAC-Private Responses with Adversarial Composition
Authors: Xiaochen Zhu, Mayuri Sridhar, Srinivas Devadas | Published: 2026-01-20
LADFA: A Framework of Using Large Language Models and Retrieval-Augmented Generation for Personal Data Flow Analysis in Privacy Policies
Authors: Haiyue Yuan, Nikolay Matyunin, Ali Raza, Shujun Li | Published: 2026-01-15
Privacy Enhanced PEFT: Tensor Train Decomposition Improves Privacy Utility Tradeoffs under DP-SGD
Authors: Pradip Kunwar, Minh Vu, Maanak Gupta, Manish Bhattarai | Published: 2026-01-15
SoK: Privacy-aware LLM in Healthcare: Threat Model, Privacy Techniques, Challenges and Recommendations
Authors: Mohoshin Ara Tahera, Karamveer Singh Sidhu, Shuvalaxmi Dass, Sajal Saha | Published: 2026-01-15
SoK: Enhancing Cryptographic Collaborative Learning with Differential Privacy
Authors: Francesco Capano, Jonas Böhler, Benjamin Weggenmann | Published: 2026-01-14
DNF: Dual-Layer Nested Fingerprinting for Large Language Model Intellectual Property Protection
Authors: Zhenhua Xu, Yiran Zhao, Mengting Zhong, Dezhang Kong, Changting Lin, Tong Qiao, Meng Han | Published: 2026-01-13
Safe-FedLLM: Delving into the Safety of Federated Large Language Models
Authors: Mingxiang Tao, Yu Tian, Wenxuan Tu, Yue Yang, Xue Yang, Xiangyan Tang | Published: 2026-01-12
Scaling Trust in Quantum Federated Learning: A Multi-Protocol Privacy Design
Authors: Dev Gurung, Shiva Raj Pokhrel | Published: 2025-12-03