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. ErfaniAssociate Professor and DECRA Fellow, Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Lingjuan LyuSony AIVerified email at sony.com
Yu-Gang JiangProfessor, Computer Science, Fudan University, ShanghaiVerified email at fudan.edu.cn
Bo LiUniversity of Illinois at Urbana–ChampaignVerified email at illinois.edu
Shu-Tao XiaTsinghua UniversityVerified email at sz.tsinghua.edu.cn
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
Hanxun HuangThe University of MelbourneVerified email at student.unimelb.edu.au
Quanquan GuAssociate Professor of Computer Science, UCLAVerified email at cs.ucla.edu
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
yige liXidian UniversityVerified email at stu.xidian.edu.cn
Shihao ZhaoThe University of Hong KongVerified email at connect.hku.hk
Jiong JinAssociate Professor, Swinburne University of Technology, Melbourne, AustraliaVerified email at swin.edu.au
Jingjing ChenFudan UniversityVerified email at my.cityu.edu.hk

Xingjun Ma

Associate Professor, School of Computer Science, Fudan University

Verified email at unimelb.edu.au - Homepage

Trustworthy Machine Learning Adversarial Learning Data Privacy Vision and Language


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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	630	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	571	2019
Improving adversarial robustness requires revisiting misclassified examples Y Wang, D Zou, J Yi, J Bailey, X Ma, Q Gu ICLR 2020, 2020	444	2020
Dimensionality-driven learning with noisy labels X Ma, Y Wang, ME Houle, S Zhou, SM Erfani, ST Xia, S Wijewickrema, ... ICML 2018, 2018	347	2018
Reflection backdoor: A natural backdoor attack on deep neural networks Y Liu, X Ma, J Bailey, F Lu ECCV 2020, 2020	293	2020
On the Convergence and Robustness of Adversarial Training Y Wang, X Ma, J Bailey, J Yi, B Zhou, Q Gu ICML 2019, 2019	281	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	273	2021
Iterative learning with open-set noisy labels Y Wang, W Liu, X Ma, J Bailey, H Zha, L Song, ST Xia CVPR 2018, 2018	261	2018
Normalized loss functions for deep learning with noisy labels X Ma, H Huang, Y Wang, S Romano, S Erfani, J Bailey ICML 2020, 2020	236	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	207	2020
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	179	2021
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	177*	2020
Clean-Label Backdoor Attacks on Video Recognition Models S Zhao, X Ma, X Zheng, J Bailey, J Chen, YG Jiang CVPR 2020, 2020	170	2020
WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection B Zi, M Chang, J Chen, X Ma, YG Jiang ACM MM 2020, 2020	146	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	143	2020
Privacy and robustness in federated learning: Attacks and defenses L Lyu, H Yu, X Ma, L Sun, J Zhao, Q Yang, PS Yu IEEE Transactions on Neural Networks and Learning Systems, 2022	134	2022
Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression J He, S Erfani, X Ma, J Bailey, Y Chi, XS Hua NeurIPS 2021, 2021	104	2021
Black-box adversarial attacks on video recognition models L Jiang, X Ma, S Chen, J Bailey, YG Jiang ACM MM 2019, 2019	101	2019
Anti-Backdoor Learning: Training Clean Models on Poisoned Data Y Li, X Lyu, N Koren, L Lyu, B Li, X Ma NeurIPS 2021, 2021	88	2021
Improving adversarial robustness via channel-wise activation suppressing Y Bai, Y Zeng, Y Jiang, ST Xia, X Ma, Y Wang ICLR 2021, 2021	72	2021

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