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What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space

Jan 18, 2021
Shihao Zhao, Xingjun Ma, Yisen Wang, James Bailey, Bo Li, Yu-Gang Jiang


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Adversarial Interaction Attack: Fooling AI to Misinterpret Human Intentions

Jan 17, 2021
Nodens Koren, Qiuhong Ke, Yisen Wang, James Bailey, Xingjun Ma

* Preprint 

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Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks

Jan 15, 2021
Yige Li, Nodens Koren, Lingjuan Lyu, Xixiang Lyu, Bo Li, Xingjun Ma

* 19 pages, 14 figures, ICLR 2021 

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Unlearnable Examples: Making Personal Data Unexploitable

Jan 13, 2021
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang

* ICLR2021 Spotlight 

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WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection

Jan 05, 2021
Bojia Zi, Minghao Chang, Jingjing Chen, Xingjun Ma, Yu-Gang Jiang


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Neural Architecture Search via Combinatorial Multi-Armed Bandit

Jan 01, 2021
Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey

* 10 pages, 7 figures 

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Privacy and Robustness in Federated Learning: Attacks and Defenses

Dec 07, 2020
Lingjuan Lyu, Han Yu, Xingjun Ma, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu

* arXiv admin note: text overlap with arXiv:2003.02133; text overlap with arXiv:1911.11815 by other authors 

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

Sep 12, 2020
Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri

* Accepted by ECCV 2020 as a spotlight paper 

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How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning

Jul 18, 2020
Lingjuan Lyu, Yitong Li, Karthik Nandakumar, Jiangshan Yu, Xingjun Ma

* Accepted for publication in TDSC 

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Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks

Jul 13, 2020
Yunfei Liu, Xingjun Ma, James Bailey, Feng Lu

* Accepted by ECCV-2020 

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Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness

Jun 30, 2020
Linxi Jiang, Xingjun Ma, Zejia Weng, James Bailey, Yu-Gang Jiang

* 17 pages, 7 figues 

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Normalized Loss Functions for Deep Learning with Noisy Labels

Jun 24, 2020
Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah Erfani, James Bailey

* Accepted to ICML 2020 

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Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles

Mar 08, 2020
Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. K. Qin, Yun Yang


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Clean-Label Backdoor Attacks on Video Recognition Models

Mar 06, 2020
Shihao Zhao, Xingjun Ma, Xiang Zheng, James Bailey, Jingjing Chen, Yu-Gang Jiang


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Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets

Feb 14, 2020
Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma

* ICLR 2020 conference paper (spotlight) 

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Symmetric Cross Entropy for Robust Learning with Noisy Labels

Aug 16, 2019
Yisen Wang, Xingjun Ma, Zaiyi Chen, Yuan Luo, Jinfeng Yi, James Bailey

* ICCV2019 

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Generative Image Inpainting with Submanifold Alignment

Aug 01, 2019
Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Kotagiri Ramamohanarao

* accepted by IJCAI2019 

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Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems

Jul 24, 2019
Xingjun Ma, Yuhao Niu, Lin Gu, Yisen Wang, Yitian Zhao, James Bailey, Feng Lu

* 15 pages, 10 figures 

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Towards Fair and Decentralized Privacy-Preserving Deep Learning with Blockchain

Jun 04, 2019
Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin

* 13 pages, 5 figures, 6 tables 

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Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality

May 02, 2019
Sukarna Barua, Xingjun Ma, Sarah Monazam Erfani, Michael E. Houle, James Bailey

* The first and original version of this paper was submitted to ICLR 2019 conference. Submission link: https://openreview.net/pdf?id=BJgYl205tQ 

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Black-box Adversarial Attacks on Video Recognition Models

Apr 10, 2019
Linxi Jiang, Xingjun Ma, Shaoxiang Chen, James Bailey, Yu-Gang Jiang


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Dimensionality-Driven Learning with Noisy Labels

Jul 31, 2018
Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi Wijewickrema, James Bailey

* In Proceedings of the International Conference on Machine Learning (ICML), 2018 

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Iterative Learning with Open-set Noisy Labels

Mar 31, 2018
Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia

* CVPR2018-Spotlight 

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Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality

Mar 14, 2018
Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E. Houle, James Bailey


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Providing Effective Real-time Feedback in Simulation-based Surgical Training

Jun 30, 2017
Xingjun Ma, Sudanthi Wijewickrema, Yun Zhou, Shuo Zhou, Stephen O'Leary, James Bailey

* To appear in Proceedings of the 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Quebec City, Canada, 2017 

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Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training

May 23, 2017
Xingjun Ma, Sudanthi Wijewickrema, Shuo Zhou, Yun Zhou, Zakaria Mhammedi, Stephen O'Leary, James Bailey

* Appeared in the Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, 2017 

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