14 citations · 24 across the 6 of their papers we have counts for
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cs.LG2021★ 3 cited
Privacy-Preserving Federated Learning on Partitioned Attributes
Shuang Zhang, Liyao Xiang, Xi Yu +4
Real-world data is usually segmented by attributes and distributed across different parties. Federated learning empowers collaborative training without exposing local data or model…
cs.LG2020★ 1 cited
Certified Distributional Robustness on Smoothed Classifiers
Jungang Yang, Liyao Xiang, Ruidong Chen +3
The robustness of deep neural networks (DNNs) against adversarial example attacks has raised wide attention. For smoothed classifiers, we propose the worst-case adversarial loss ov…
cs.LG2020★ 14 cited
Achieving Adversarial Robustness via Sparsity
Shufan Wang, Ningyi Liao, Liyao Xiang +2
Network pruning has been known to produce compact models without much accuracy degradation. However, how the pruning process affects a network's robustness and the working mechanis…