Bilateral Differentially Private Vertical Federated Boosted Decision Trees
Authors: Bokang Zhang, Zhikun Zhang, Haodong Jiang, Yang Liu, Lihao Zheng, Yuxiao Zhou, Shuaiting Huang, Junfeng Wu | Published: 2025-04-30
プライバシーリスク管理
Can Differentially Private Fine-tuning LLMs Protect Against Privacy Attacks?
Authors: Hao Du, Shang Liu, Yang Cao | Published: 2025-04-28 | Updated: 2025-05-01
Digital Healthcare in The Metaverse: Insights into Privacy and Security
Authors: Mehdi Letafati, Safa Otoum | Published: 2023-07-22 | Updated: 2023-08-10
Dissecting Distribution Inference
Authors: Anshuman Suri, Yifu Lu, Yanjin Chen, David Evans | Published: 2022-12-15 | Updated: 2024-04-05
Vicious Classifiers: Assessing Inference-time Data Reconstruction Risk in Edge Computing
Authors: Mohammad Malekzadeh, Deniz Gunduz | Published: 2022-12-08 | Updated: 2024-10-01
Reconstructing Training Data from Model Gradient, Provably
Authors: Zihan Wang, Jason D. Lee, Qi Lei | Published: 2022-12-07 | Updated: 2023-06-10
On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models
Authors: Mauro Conti, Jiaxin Li, Stjepan Picek | Published: 2022-10-28
Extracted BERT Model Leaks More Information than You Think!
Authors: Xuanli He, Chen Chen, Lingjuan Lyu, Qiongkai Xu | Published: 2022-10-21 | Updated: 2022-10-31
Proof of Unlearning: Definitions and Instantiation
Authors: Jiasi Weng, Shenglong Yao, Yuefeng Du, Junjie Huang, Jian Weng, Cong Wang | Published: 2022-10-20 | Updated: 2022-10-21
How Does a Deep Learning Model Architecture Impact Its Privacy? A Comprehensive Study of Privacy Attacks on CNNs and Transformers
Authors: Guangsheng Zhang, Bo Liu, Huan Tian, Tianqing Zhu, Ming Ding, Wanlei Zhou | Published: 2022-10-20 | Updated: 2024-02-02