When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?
Authors: Shang Wang, Tianqing Zhu, Dayong Ye, Wanlei Zhou | Published: 2024-10-20 | Updated: 2025-10-13
Privacy Enhancing Technology
ProxyGPT: Enabling User Anonymity in LLM Chatbots via (Un)Trustworthy Volunteer Proxies
Authors: Dzung Pham, Jade Sheffey, Chau Minh Pham, Amir Houmansadr | Published: 2024-07-11 | Updated: 2025-06-11
Cross-Modal Safety Alignment: Is textual unlearning all you need?
Authors: Trishna Chakraborty, Erfan Shayegani, Zikui Cai, Nael Abu-Ghazaleh, M. Salman Asif, Yue Dong, Amit K. Roy-Chowdhury, Chengyu Song | Published: 2024-05-27 | Updated: 2025-10-14
Secret Collusion among Generative AI Agents: Multi-Agent Deception via Steganography
Authors: Sumeet Ramesh Motwani, Mikhail Baranchuk, Martin Strohmeier, Vijay Bolina, Philip H. S. Torr, Lewis Hammond, Christian Schroeder de Witt | Published: 2024-02-12 | Updated: 2025-04-14
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey
Authors: Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He | Published: 2023-07-10
Differentially private sliced inverse regression in the federated paradigm
Authors: Shuaida He, Jiarui Zhang, Xin Chen | Published: 2023-06-10 | Updated: 2023-08-10
Differentially Private Selection from Secure Distributed Computing
Authors: Ivan Damgård, Hannah Keller, Boel Nelson, Claudio Orlandi, Rasmus Pagh | Published: 2023-06-07 | Updated: 2023-06-08
Human-imperceptible, Machine-recognizable Images
Authors: Fusheng Hao, Fengxiang He, Yikai Wang, Fuxiang Wu, Jing Zhang, Jun Cheng, Dacheng Tao | Published: 2023-06-06
A Privacy-Preserving Federated Learning Approach for Kernel methods
Authors: Anika Hannemann, Ali Burak Ünal, Arjhun Swaminathan, Erik Buchmann, Mete Akgün | Published: 2023-06-05
FedCIP: Federated Client Intellectual Property Protection with Traitor Tracking
Authors: Junchuan Liang, Rong Wang | Published: 2023-06-02