Dr Daniel Ma

STAFF PROFILE

Position

Lecturer, Information Technology

Faculty

Faculty of Sci Eng & Built Env

Department

School of Info Technology

Campus

Melbourne Burwood Campus

Publications

Filter by

2021

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

(2021), Vol. 110, pp. 1-11, Pattern Recognition, Amsterdam, The Netherlands, C1-1

journal article

Surgical approach to the facial recess influences the acceptable trajectory of cochlear implantation electrodes

B Copson, S Wijewickrema, X Ma, Y Zhou, J Gerard, S O’Leary

(2021), pp. 1-11, European Archives of Oto-Rhino-Laryngology, Berlin, Germany, C1-1

journal article

Sub-Trajectory Similarity Join with Obfuscation

Y Chang, J Qi, E Tanin, X Ma, H Samet

(2021), pp. 181-192, SSDBM 2021 : Proceedings of the 33rd International Conference on Scientific and Statistical Database Management, Tampa, Florida, E1

conference

RobOT: Robustness-Oriented Testing for Deep Learning Systems

Jingyi Wang, Jialuo Chen, Youcheng Sun, Xingjun Ma, Dongxia Wang, Jun Sun, Peng Cheng

(2021), pp. 300-311, 2021 IEEE/ACM International Conference on Software Engineering (ICSE), Madrid, Spain, E1

conference
2020

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, X 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

conference

Clean-Label Backdoor Attacks on Video Recognition Models

S Zhao, X Ma, X Zheng, J Bailey, J Chen, Y Jiang

(2020), pp. 14431-14440, CVPR 2020 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Seattle, Washington, E1-1

conference

Adversarial camouflage: Hiding physical-world attacks with natural styles

R Duan, X Ma, Y Wang, J Bailey, A Qin, Y Yang

(2020), pp. 997-1005, CVPR 2020 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Seattle, Washington, E1-1

conference

Short-Term and Long-Term Context Aggregation Network for Video Inpainting

A Li, S Zhao, X Ma, M Gong, J Qi, R Zhang, D Tao, R Kotagiri

(2020), pp. 728-743, ECCV 2020 : Proceedings of the 2020 European Conference of Computer Vision, Glasgow, Scotland, E1

conference

Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks

Y Liu, X Ma, J Bailey, F Lu

(2020), pp. 182-199, ECCV 2020 : Proceedings of the 2020 European Conference of Computer Vision, Glasgow, Scotland, E1

conference

Normalized loss functions for deep learning with noisy labels

X Ma, H Huang, Y Wang, S Erfani, J Bailey

(2020), pp. 1-11, ICML 2020 : Proceedings of the 37th International Conference on Machine Learning, Online, E1-1

conference

WildDeepfake: a challenging real-world dataset for deepfake detection

B Zi, M Chang, J Chen, X Ma, Y Jiang

(2020), pp. 2382-2390, MM 2020 : Proceedings of the 28th ACM International Conference on Multimedia, Seattle, Washington, E1

conference
2019

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

conference

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

conference

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

conference

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

conference
2018

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

conference

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

conference

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

conference

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

conference

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

conference
2017

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

conference

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

conference

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

conference

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

conference

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

conference
2016

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

conference

Funded Projects at Deakin

No Funded Projects at Deakin found

Supervisions

Associate Supervisor
2021

Chiranjibi Sitaula

Thesis entitled: Developing New Image Features for Scene Image Classification

Doctor of Philosophy (Information Technology), School of Information Technology