Unlearning Isn’t Deletion: Investigating Reversibility of Machine Unlearning in LLMs
Authors: Xiaoyu Xu, Xiang Yue, Yang Liu, Qingqing Ye, Haibo Hu, Minxin Du | Published: 2025-05-22
プライバシー管理
Web IP at Risk: Prevent Unauthorized Real-Time Retrieval by Large Language Models
Authors: Yisheng Zhong, Yizhu Wen, Junfeng Guo, Mehran Kafai, Heng Huang, Hanqing Guo, Zhuangdi Zhu | Published: 2025-05-19
Reconciling Privacy and Explainability in High-Stakes: A Systematic Inquiry
Authors: Supriya Manna, Niladri Sett | Published: 2024-12-30 | Updated: 2025-05-22
Model-based Large Language Model Customization as Service
Authors: Zhaomin Wu, Jizhou Guo, Junyi Hou, Bingsheng He, Lixin Fan, Qiang Yang | Published: 2024-10-14 | Updated: 2025-05-22
Local Differential Privacy and Its Applications: A Comprehensive Survey
Authors: Mengmeng Yang, Lingjuan Lyu, Jun Zhao, Tianqing Zhu, Kwok-Yan Lam | Published: 2020-08-09
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy
Authors: Nuria Rodríguez-Barroso, Goran Stipcich, Daniel Jiménez-López, José Antonio Ruiz-Millán, Eugenio Martínez-Cámara, Gerardo González-Seco, M. Victoria Luzón, Miguel Ángel Veganzones, Francisco Herrera | Published: 2020-07-02 | Updated: 2020-10-06
Secure Federated Submodel Learning
Authors: Chaoyue Niu, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv, Zhihua Wu, Guihai Chen | Published: 2019-11-06 | Updated: 2019-11-11
Privacy for Free: Communication-Efficient Learning with Differential Privacy Using Sketches
Authors: Tian Li, Zaoxing Liu, Vyas Sekar, Virginia Smith | Published: 2019-11-03 | Updated: 2019-12-06
Operator and Manufacturer Independent D2D Private Link for Future 5G Networks
Authors: Ayoub Mars, Ahmad Abadleh, Wael Adi | Published: 2019-11-01
Privacy-Preserving Machine Learning Using EtC Images
Authors: Ayana Kawamura, Yuma Kinoshita, Hitoshi Kiya | Published: 2019-11-01