On the Query Complexity of Training Data Reconstruction in Private Learning
Authors: Prateeti Mukherjee, Satya Lokam | Published: 2023-03-29 | Updated: 2024-01-11
プライバシー分析
DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling
Authors: Jianxin Wei, Ergute Bao, Xiaokui Xiao, Yin Yang | Published: 2022-10-18 | Updated: 2024-08-01
Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Model using Subspace Perturbation
Authors: Qiongxiu Li, Jaron Skovsted Gundersen, Katrine Tjell, Rafal Wisniewski, Mads Græsbøll Christensen | Published: 2022-09-16
M^4I: Multi-modal Models Membership Inference
Authors: Pingyi Hu, Zihan Wang, Ruoxi Sun, Hu Wang, Minhui Xue | Published: 2022-09-15
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning using Independent Component Analysis
Authors: Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, G. Edward Suh, Moinuddin K Qureshi, Hsien-Hsin S. Lee | Published: 2022-09-12
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation
Authors: Xuan Gong, Abhishek Sharma, Srikrishna Karanam, Ziyan Wu, Terrence Chen, David Doermann, Arun Innanje | Published: 2022-09-10
Private Read Update Write (PRUW) in Federated Submodel Learning (FSL): Communication Efficient Schemes With and Without Sparsification
Authors: Sajani Vithana, Sennur Ulukus | Published: 2022-09-09
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
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