237 citations · 845 across the 23 of their papers we have counts for
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cs.LG2022★ 2 cited
Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy
Ergute Bao, Yizheng Zhu, Xiaokui Xiao +4
Deep neural networks have strong capabilities of memorizing the underlying training data, which can be a serious privacy concern. An effective solution to this problem is to train…
cs.CR2022★ 18 cited
DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling
Jianxin Wei, Ergute Bao, Xiaokui Xiao +1
Nowadays, differential privacy (DP) has become a well-accepted standard for privacy protection, and deep neural networks (DNN) have been immensely successful in machine learning. T…