Differentially Private Stochastic Gradient Descent with Low-Noise
Authors: Puyu Wang, Yunwen Lei, Yiming Ying, Ding-Xuan Zhou | Published: 2022-09-09 | Updated: 2023-07-14
Privacy Analysis
A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning
Authors: Yan Kang, Jiahuan Luo, Yuanqin He, Xiaojin Zhang, Lixin Fan, Qiang Yang | Published: 2022-09-08 | Updated: 2024-08-04
Joint Linear and Nonlinear Computation across Functions for Efficient Privacy-Preserving Neural Network Inference
Authors: Qiao Zhang, Tao Xiang, Chunsheng Xin, Biwen Chen, Hongyi Wu | Published: 2022-09-04
Large Scale Transfer Learning for Differentially Private Image Classification
Authors: Harsh Mehta, Abhradeep Thakurta, Alexey Kurakin, Ashok Cutkosky | Published: 2022-05-06 | Updated: 2022-05-20
Universal Optimality and Robust Utility Bounds for Metric Differential Privacy
Authors: Natasha Fernandes, Annabelle McIver, Catuscia Palamidessi, Ming Ding | Published: 2022-05-03
SoK: Differential Privacy on Graph-Structured Data
Authors: Tamara T. Mueller, Dmitrii Usynin, Johannes C. Paetzold, Daniel Rueckert, Georgios Kaissis | Published: 2022-03-17
A Low-Cost Machine Learning Based Network Intrusion Detection System with Data Privacy Preservation
Authors: Jyoti Fakirah, Lauhim Mahfuz Zishan, Roshni Mooruth, Michael N. Johnstone, Wencheng Yang | Published: 2021-07-06
Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy
Authors: Yipeng Zhou, Xuezheng Liu, Yao Fu, Di Wu, Chao Li, Shui Yu | Published: 2021-07-05
Certifiably Robust Interpretation via Renyi Differential Privacy
Authors: Ao Liu, Xiaoyu Chen, Sijia Liu, Lirong Xia, Chuang Gan | Published: 2021-07-04
Differentially Private Collaborative Intrusion Detection Systems For VANETs
Authors: Tao Zhang, Quanyan Zhu | Published: 2020-05-02