6 citations · 20 across the 11 of their papers we have counts for
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cs.LG2022★ 1 cited
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees
Banghua Zhu, Lun Wang, Qi Pang +4
We propose Byzantine-robust federated learning protocols with nearly optimal statistical rates. In contrast to prior work, our proposed protocols improve the dimension dependence a…
cs.LG2021★ 2 cited
Provably Valid and Diverse Mutations of Real-World Media Data for DNN Testing
Yuanyuan Yuan, Qi Pang, Shuai Wang
Deep neural networks (DNNs) often accept high-dimensional media data (e.g., photos, text, and audio) and understand their perceptual content (e.g., a cat). To test DNNs, diverse in…
cs.LG2021★ 1 cited
Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware Criterion
Yuanyuan Yuan, Qi Pang, Shuai Wang
Various deep neural network (DNN) coverage criteria have been proposed to assess DNN test inputs and steer input mutations. The coverage is characterized via neurons having certain…