Dr Daniel Ma



Lecturer, Information Technology


Faculty of Sci Eng & Built Env


School of Info Technology


Melbourne Burwood Campus


Filter by


Understanding adversarial attacks on deep learning based medical image analysis systems

Xingjun Ma, Yuhao Niu, Lin Gu, Yisen Wang, Yitian Zhao, James Bailey, Feng Lu

(2020), pp. 1-11, Pattern Recognition, Amsterdam, The Netherlands, C1-1

journal article

Towards Fair and Privacy-Preserving Federated Deep Models

Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin, Han Yu, Kee Ng

(2020), Vol. 31, pp. 2524-2541, IEEE Transactions on Parallel and Distributed Systems, Piscataway, NJ, C1-1

journal article

Exploiting patterns to explain individual predictions

Y Jia, J Bailey, K Ramamohanarao, C Leckie, X Ma

(2020), Vol. 62, pp. 927-950, Knowledge and Information Systems, Berlin, Germany, C1-1

journal article

How to democratise and protect AI: fair and differentially private decentralised deep learning

Lingjuan Lyu, Yitong Li, Karthik Nandakumar, Jiangshan Yu, Xingjun Ma

(2020), pp. 1-14, IEEE transactions on dependable and secure computing, Piscataway, N.J., C1

journal article

Transfer of automated performance feedback models to different specimens in virtual reality temporal bone surgery

J Lamtara, N Hanegbi, B Talks, S Wijewickrema, X Ma, P Piromchai, J Bailey, S O?Leary

(2020), Vol. LNCS 12163, pp. 296-308, AIED 2020 : Proceedings of the 21st International Conference on Artificial Intelligence in Education, Ifrane, Morocco, E1-1


Generative image inpainting with submanifold alignment

Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Kotagiri Ramamohanarao

(2019), pp. 811-817, IJCAI 2019 : Proceedings of the 28th International Joint Conference on Artificial Intelligence, Macao, China, E1-1


Black-box adversarial attacks on video recognition models

Linxi Jiang, Xingjun Ma, Shaoxiang Chen, James Bailey, Yu-Gang Jiang

(2019), pp. 864-872, MM 2019 : Proceedings of the 27th ACM International Conference on Mulitmedia, Nice, France, E1-1


Symmetric cross entropy for robust learning with noisy labels

Yisen Wang, Xingjun Ma, Zaiyi Chen, Yuan Luo, Jinfeng Yi, James Bailey

(2019), pp. 322-330, ICCV 2019 : Proceedings of the IEEE/CVF International Conference on Computer Vision, Seoul, South Korea, E1-1


On the convergence and robustness of adversarial training

Y Wang, X Ma, J Bailey, J Yi, B Zhou, Q Gu

(2019), Vol. 2019-June, pp. 11426-11438, ICML 2019 : Proceedings of the 36th International Conference on Machine Learning, Long Beach, California, E1-1


Iterative learning with open-set noisy labels

Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia

(2018), pp. 8688-8696, CVPRW 2018 : Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, Salt Lake City, Ut., E1-1


Characterizing adversarial subspaces using local intrinsic dimensionality

X Ma, B Li, Y Wang, S Erfani, S Wijewickrema, G Schoenebeck, D Song, M Houle, J Bailey

(2018), pp. 1-15, ICLR 2018 : Proceedings of the 6th International Conference on Learning Representations, Vancouver, British Columbia, E1-1


Dimensionality-Driven learning with noisy labels

X Ma, Y Wang, M Houle, S Zhou, S Erfani, S Xia, S Wijewickrema, J Bailey

(2018), Vol. 8, pp. 5332-5341, ICML 2018 : Proceedings of the 35th International Conference on Machine Learning, Stockholm, Sweden, E1-1


Development and Validation of a Virtual Reality Tutor to Teach Clinically Oriented Surgical Anatomy of the Ear

S Wijewickrema, B Copson, X Ma, R Briggs, J Bailey, G Kennedy, S Oleary

(2018), Vol. 2018-June, pp. 12-17, CBMS 2018 : Proceedings of the 31st IEEE Symposium on Computer-Based Medical Systems, Karlstad, Sweden, E1-1


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, S O?Leary

(2018), Vol. 10947, pp. 584-598, AIED 2018 : Artificial intelligence in education : 19th International Conference, AIED 2018, London, UK, June 27-30, 2018, Proceedings, London, England, E1-1


Design and evaluation of a virtual reality simulation module for training advanced temporal bone surgery

Sudanthi Wijewickrema, Bridget Copson, Yun Zhou, Xingjun Ma, Robert Briggs, James Bailey, Gregor Kennedy, Stephen OLeary

(2017), pp. 7-12, CBMS 2017 : Proceedings of the IEEE 30th International Symposium on computer-based medical systems, Thessaloniki, Greece, E1-1


Adversarial generation of real-time feedback with neural networks for simulation-based training

Xingjun Ma, Sudanthi Wijewickrema, Shuo Zhou, Yun Zhou, Zakaria Mhammedi, Stephen O'Leary, James Bailey

(2017), pp. 3763-3769, IJCAI 2017 : Proceedings of the 26th International Joint Conference on Artificial Intelligence, Melbourne, Vic., E1-1


Simulation for Training Cochlear Implant Electrode Insertion

Xingjun Ma, Sudanthi Wijewickrema, Yun Zhou, Bridget Copson, James Bailey, Gregor Kennedy, Stephen O'Leary

(2017), pp. 1-6, CBMS 2017 : Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, Thessaloniki, Greece, E1-1


Providing effective real-time feedback in simulation-based surgical training

X Ma, S Wijewickrema, Y Zhou, S Zhou, S O?Leary, J Bailey

(2017), Vol. 10434, pp. 566-574, MICCAI 2017 : Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2017 : 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Quebec City, Quebec, E1-1


Unbiased multivariate correlation analysis

Y Wang, S Romano, V Nguyen, J Bailey, X Ma, S Xia

(2017), pp. 2754-2760, AAAI 2017 : Proceedings of the 31st AAAI Conference on Artificial Intelligence, San Francisco, California, E1-1


Finding influentials in twitter: A temporal influence ranking model

X Ma, C Li, J Bailey, S Wijewickrema

(2016), pp. 5-14, AusDM 2016 Proceedings of the 14th Australasian Data Mining Conference, Canberra, Australian Capital Territory, E1-1


Funded Projects at Deakin

No Funded Projects at Deakin found


No completed student supervisions to report