4 citations · 7 across the 2 of their papers we have counts for
3 papers
cs.CV2022★ 4 cited
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder
Qi Tian, Kun Kuang, Kelu Jiang +3
The success of deep learning is partly attributed to the availability of massive data downloaded freely from the Internet. However, it also means that users' private data may be co…
cs.CV2021★ 3 cited
Analysis and Applications of Class-wise Robustness in Adversarial Training
Qi Tian, Kun Kuang, Kelu Jiang +2
Adversarial training is one of the most effective approaches to improve model robustness against adversarial examples. However, previous works mainly focus on the overall robustnes…
cs.LG2020
Federated Unsupervised Representation Learning
Fengda Zhang, Kun Kuang, Zhaoyang You +6
To leverage enormous unlabeled data on distributed edge devices, we formulate a new problem in federated learning called Federated Unsupervised Representation Learning (FURL) to le…