Dataset Inference: Ownership Resolution in Machine Learning
Authors: Pratyush Maini, Mohammad Yaghini, Nicolas Papernot | Published: 2021-04-21
Data Privacy Assessment
FoggySight: A Scheme for Facial Lookup Privacy
Authors: Ivan Evtimov, Pascal Sturmfels, Tadayoshi Kohno | Published: 2020-12-15
On Lightweight Privacy-Preserving Collaborative Learning for Internet of Things by Independent Random Projections
Authors: Linshan Jiang, Rui Tan, Xin Lou, Guosheng Lin | Published: 2020-12-11
Research Challenges in Designing Differentially Private Text Generation Mechanisms
Authors: Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier | Published: 2020-12-10
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