Xingjun Ma

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James BaileyProfessor, School of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Yisen WangAssistant Professor, Peking UniversityVerified email at pku.edu.cn
Sudanthi WijewickremaSenior Research Fellow, University of MelbourneVerified email at unimelb.edu.au
Sarah M. ErfaniSenior Lecturer and DECRA Fellow, Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Shu-Tao XiaTsinghua UniversityVerified email at sz.tsinghua.edu.cn
Lingjuan LyuSony AIVerified email at sony.com
Bo LiUniversity of Illinois at Urbana–ChampaignVerified email at illinois.edu
Michael E. HoulePrincipal Fellow, School of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Jinfeng Yi (易津锋)JD AI ResearchVerified email at jd.com
Yu-Gang JiangProfessor, Computer Science, Fudan University, ShanghaiVerified email at fudan.edu.cn
Quanquan GuAssociate Professor of Computer Science, UCLAVerified email at cs.ucla.edu
Hanxun HuangThe University of MelbourneVerified email at student.unimelb.edu.au
Shuo ZhouResearch Fellow at the University of MelbourneVerified email at unimelb.edu.au
Dawn SongProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Jiangshan Yu (于江山)ARC DECRA Fellow and Senior Lecturer, Monash UniversityVerified email at monash.edu
Feng LuProfessor, Beihang UniversityVerified email at buaa.edu.cn
Gregor KennedyThe University of MelbourneVerified email at unimelb.edu.au
Jiong JinAssociate Professor, Swinburne University of Technology, Melbourne, AustraliaVerified email at swin.edu.au
Shihao ZhaoThe University of Hong KongVerified email at fudan.edu.cn
Nodens KorenPhD Fellow @ Københavns UniversitetVerified email at di.ku.dk

Xingjun Ma

Fudan University

Verified email at unimelb.edu.au - Homepage

Trustworthy AI Machine Learning Computer Vision Data Privacy


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Characterizing adversarial subspaces using local intrinsic dimensionality X Ma, B Li, Y Wang, SM Erfani, S Wijewickrema, G Schoenebeck, D Song, ... ICLR 2018, 2018	491	2018
Symmetric cross entropy for robust learning with noisy labels Y Wang, X Ma, Z Chen, Y Luo, J Yi, J Bailey ICCV 2019, 2019	362	2019
Dimensionality-driven learning with noisy labels X Ma, Y Wang, ME Houle, S Zhou, SM Erfani, ST Xia, S Wijewickrema, ... ICML 2018, 2018	286	2018
Improving adversarial robustness requires revisiting misclassified examples Y Wang, D Zou, J Yi, J Bailey, X Ma, Q Gu ICLR 2020, 2020	272	2020
Iterative learning with open-set noisy labels Y Wang, W Liu, X Ma, J Bailey, H Zha, L Song, ST Xia CVPR 2018, 2018	228	2018
On the Convergence and Robustness of Adversarial Training Y Wang, X Ma, J Bailey, J Yi, B Zhou, Q Gu ICML 2019, 2019	194	2019
Understanding adversarial attacks on deep learning based medical image analysis systems X Ma, Y Niu, L Gu, Y Wang, Y Zhao, J Bailey, F Lu Pattern Recognition 110, 107332, 2021	178	2021
Reflection backdoor: A natural backdoor attack on deep neural networks Y Liu, X Ma, J Bailey, F Lu ECCV 2020, 2020	144	2020
Skip connections matter: On the transferability of adversarial examples generated with resnets D Wu, Y Wang, ST Xia, J Bailey, X Ma ICLR 2020, 2020	140	2020
Normalized loss functions for deep learning with noisy labels X Ma, H Huang, Y Wang, S Romano, S Erfani, J Bailey ICML 2020, 2020	130	2020
Towards fair and privacy-preserving federated deep models L Lyu, J Yu, K Nandakumar, Y Li, X Ma, J Jin, H Yu, KS Ng IEEE Transactions on Parallel and Distributed Systems 31 (11), 2524-2541, 2020	109*	2020
Clean-Label Backdoor Attacks on Video Recognition Models S Zhao, X Ma, X Zheng, J Bailey, J Chen, YG Jiang CVPR 2020, 2020	93	2020
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles R Duan, X Ma, Y Wang, J Bailey, AK Qin, Y Yang CVPR 2020, 2020	83	2020
Black-box adversarial attacks on video recognition models L Jiang, X Ma, S Chen, J Bailey, YG Jiang ACM MM 2019, 2019	82	2019
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks Y Li, N Koren, L Lyu, X Lyu, B Li, X Ma ICLR 2021, 2021	75	2021
WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection B Zi, M Chang, J Chen, X Ma, YG Jiang ACM MM 2020, 2020	66	2020
Privacy and robustness in federated learning: Attacks and defenses L Lyu, H Yu, X Ma, L Sun, J Zhao, Q Yang, PS Yu arXiv preprint arXiv:2012.06337, 2020	62	2020
Improving adversarial robustness via channel-wise activation suppressing Y Bai, Y Zeng, Y Jiang, ST Xia, X Ma, Y Wang ICLR 2021, 2021	50	2021
Unlearnable Examples: Making Personal Data Unexploitable H Huang, X Ma, SM Erfani, J Bailey, Y Wang ICLR 2021, 2021	29	2021
How to democratise and protect AI: Fair and differentially private decentralised deep learning L Lyu, Y Li, K Nandakumar, J Yu, X Ma IEEE Transactions on Dependable and Secure Computing, 2020	23	2020

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