Xingjun Ma

Cited by

	All	Since 2016
Citations	924	921
h-index	12	12
i10-index	13	13

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201720182019202020219 69 240 585 8

Co-authors

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, Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Shu-Tao XiaTsinghua UniversityVerified email at sz.tsinghua.edu.cn
Michael E. HouleNational Institute of Informatics, JapanVerified email at nii.ac.jp
Jinfeng Yi (易津锋)JD AI ResearchVerified email at jd.com
Shuo ZhouResearch Fellow at the University of MelbourneVerified email at unimelb.edu.au
Yu-Gang JiangProfessor, Computer Science, Fudan University, ShanghaiVerified email at fudan.edu.cn
Gregor KennedyThe University of MelbourneVerified email at unimelb.edu.au
Lingjuan LyuNUS, ANU, The University of MelbourneVerified email at student.unimelb.edu.au
Bo LiUniversity of Illinois at Urbana–ChampaignVerified email at illinois.edu
Dawn SongProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Grant SchoenebeckUniversity of MichiganVerified email at umich.edu
Quanquan GuAssistant Professor of Computer Science, UCLAVerified email at cs.ucla.edu
Karthik NandakumarMohamed Bin Zayed University of Artificial Intelligence, IBM Research, Institute for InfocommVerified email at mbzuai.ac.ae
Jiangshan Yu (于江山)Lecturer, Monash UniversityVerified email at monash.edu
Yitong LiThe University of MelbourneVerified email at student.unimelb.edu.au
Weiyang LiuUniversity of Cambridge, MPI TübingenVerified email at cam.ac.uk
Jiong JinSenior Lecturer, Swinburne University of Technology, Melbourne, AustraliaVerified email at swin.edu.au

Xingjun Ma

Lecturer@Deakin University, Honorary@University of Melbourne

Verified email at unimelb.edu.au - Homepage

Adversarial Machine Learning Deep Learning AI Security 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	262	2018
Dimensionality-driven learning with noisy labels X Ma, Y Wang, ME Houle, S Zhou, SM Erfani, ST Xia, S Wijewickrema, ... ICML 2018, 2018	139	2018
Iterative learning with open-set noisy labels Y Wang, W Liu, X Ma, J Bailey, H Zha, L Song, ST Xia CVPR 2018, 2018	115	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	67	2019
On the Convergence and Robustness of Adversarial Training. Y Wang, X Ma, J Bailey, J Yi, B Zhou, Q Gu ICML 2019, 2019	57	2019
Improving adversarial robustness requires revisiting misclassified examples Y Wang, D Zou, J Yi, J Bailey, X Ma, Q Gu ICLR 2020, 2020	39	2020
Black-box adversarial attacks on video recognition models L Jiang, X Ma, S Chen, J Bailey, YG Jiang ACM MM 2019, 2019	34	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, 107332, 2020	33	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	24*	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	24	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	16	2020
Design and evaluation of a virtual reality simulation module for training advanced temporal bone surgery S Wijewickrema, B Copson, Y Zhou, X Ma, R Briggs, J Bailey, G Kennedy, ... CBMS 2017, 7-12, 2017	13	2017
Finding influentials in Twitter: a temporal influence ranking model X Ma, C Li, J Bailey, S Wijewickrema AusDM 2016, 2016	10	2016
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles R Duan, X Ma, Y Wang, J Bailey, AK Qin, Y Yang CVPR 2020, 2020	9	2020
Clean-Label Backdoor Attacks on Video Recognition Models S Zhao, X Ma, X Zheng, J Bailey, J Chen, YG Jiang CVPR 2020, 2020	9	2020
Adversarial generation of real-time feedback with neural networks for simulation-based training X Ma, S Wijewickrema, S Zhou, Y Zhou, Z Mhammedi, S O'Leary, J Bailey IJCAI 2017, 2017	9*	2017
Reflection backdoor: A natural backdoor attack on deep neural networks Y Liu, X Ma, J Bailey, F Lu ECCV 2020, 2020	8	2020
Unbiased multivariate correlation analysis Y Wang, S Romano, V Nguyen, J Bailey, X Ma, ST Xia Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	8	2017
Providing automated real-time technical feedback for virtual reality based surgical training: is the simpler the better? S Wijewickrema, X Ma, P Piromchai, R Briggs, J Bailey, G Kennedy, ... AIED 2018, 2018	7	2018
Generative image inpainting with submanifold alignment A Li, J Qi, R Zhang, X Ma, K Ramamohanarao IJCAI 2019, 2019	6	2019

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