Jingfeng Zhang
Jingfeng Zhang
PhD, NUS, Singapore ---> Postdoc, RIKEN-AIP, Tokyo
Verified email at riken.jp - Homepage
Cited by
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Attacks which do not kill training make adversarial learning stronger
J Zhang, X Xu, B Han, G Niu, L Cui, M Sugiyama, M Kankanhalli
International Conference on Machine Learning, 11278-11287, 2020
Geometry-aware Instance-reweighted Adversarial Training
J Zhang, J Zhu, G Niu, B Han, M Sugiyama, M Kankanhalli
International Conference on Learning Representations (ICLR) (Oral), 2021
Towards Robust ResNet: A Small Step but a Giant Leap
J Zhang, B Han, L Wynter, BKH Low, M Kankanhalli
Twenty-Eighth International Joint Conference on Artificial Intelligence …, 2019
Hierarchically fair federated learning
J Zhang, C Li, A Robles-Kelly, M Kankanhalli
arXiv preprint arXiv:2004.10386, 2020
Maximum mean discrepancy is aware of adversarial attacks
R Gao, F Liu, J Zhang, B Han, T Liu, G Niu, M Sugiyama
arXiv preprint arXiv:2010.11415, 2020
Robust federated recommendation system
C Chen, J Zhang, AKH Tung, M Kankanhalli, G Chen
arXiv preprint arXiv:2006.08259, 2020
Understanding the Interaction of Adversarial Training with Noisy Labels
J Zhu, J Zhang, B Han, T Liu, G Niu, H Yang, M Kankanhalli, M Sugiyama
arXiv preprint arXiv:2102.03482, 2021
Learning diverse-structured networks for adversarial robustness
X Du, J Zhang, B Han, T Liu, Y Rong, G Niu, J Huang, M Sugiyama
arXiv preprint arXiv:2102.01886, 2021
Reliable Adversarial Distillation with Unreliable Teachers
J Zhu, J Yao, B Han, J Zhang, T Liu, G Niu, J Zhou, J Xu, H Yang
arXiv preprint arXiv:2106.04928, 2021
NoiLIn: Do Noisy Labels Always Hurt Adversarial Training?
J Zhang, X Xu, B Han, T Liu, G Niu, L Cui, M Sugiyama
arXiv preprint arXiv:2105.14676, 2021
Guided Interpolation for Adversarial Training
C Chen, J Zhang, X Xu, T Hu, G Niu, G Chen, M Sugiyama
arXiv preprint arXiv:2102.07327, 2021
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
H Yan, J Zhang, G Niu, J Feng, VYF Tan, M Sugiyama
arXiv preprint arXiv:2102.05311, 2021
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