Research Challenges in Designing Differentially Private Text Generation Mechanisms
Authors: Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier | Published: 2020-12-10
データプライバシー評価
TransMIA: Membership Inference Attacks Using Transfer Shadow Training
Authors: Seira Hidano, Takao Murakami, Yusuke Kawamoto | Published: 2020-11-30 | Updated: 2021-04-23
Gradient Sparsification Can Improve Performance of Differentially-Private Convex Machine Learning
Authors: Farhad Farokhi | Published: 2020-11-30 | Updated: 2020-12-01
InstaHide’s Sample Complexity When Mixing Two Private Images
Authors: Baihe Huang, Zhao Song, Runzhou Tao, Junze Yin, Ruizhe Zhang, Danyang Zhuo | Published: 2020-11-24 | Updated: 2024-02-06
Practical Privacy Attacks on Vertical Federated Learning
Authors: Haiqin Weng, Juntao Zhang, Xingjun Ma, Feng Xue, Tao Wei, Shouling Ji, Zhiyuan Zong | Published: 2020-11-18 | Updated: 2022-07-22
Privacy Preservation in Federated Learning: An insightful survey from the GDPR Perspective
Authors: Nguyen Truong, Kai Sun, Siyao Wang, Florian Guitton, Yike Guo | Published: 2020-11-10 | Updated: 2021-03-18
Is Private Learning Possible with Instance Encoding?
Authors: Nicholas Carlini, Samuel Deng, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Shuang Song, Abhradeep Thakurta, Florian Tramer | Published: 2020-11-10 | Updated: 2021-04-28
The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax Lower Bounds
Authors: T. Tony Cai, Yichen Wang, Linjun Zhang | Published: 2020-11-08 | Updated: 2020-12-06
On the Privacy Risks of Algorithmic Fairness
Authors: Hongyan Chang, Reza Shokri | Published: 2020-11-07 | Updated: 2021-04-07
Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings
Authors: Vinith M. Suriyakumar, Nicolas Papernot, Anna Goldenberg, Marzyeh Ghassemi | Published: 2020-10-13