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Xingjun Ma

Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting


Jun 03, 2021
Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang

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* Accepted by IJCAI 2021 
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Dual Head Adversarial Training


Apr 22, 2021
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey

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Improving Adversarial Robustness via Channel-wise Activation Suppressing


Mar 11, 2021
Yang Bai, Yuyuan Zeng, Yong Jiang, Shu-Tao Xia, Xingjun Ma, Yisen Wang

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* ICLR2021 accepted paper 
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Multi-class Classification Based Anomaly Detection of Insider Activities


Feb 15, 2021
R G Gayathri, Atul Sajjanhar, Yong Xiang, Xingjun Ma

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* 8 pages, 5 figures 
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What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space


Feb 06, 2021
Shihao Zhao, Xingjun Ma, Yisen Wang, James Bailey, Bo Li, Yu-Gang Jiang

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Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks


Jan 27, 2021
Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma

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* 19 pages, 14 figures, ICLR 2021 
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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

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* Preprint 
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Unlearnable Examples: Making Personal Data Unexploitable


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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* ICCV2019 
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Generative Image Inpainting with Submanifold Alignment


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

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* 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

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* 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

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* 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

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* 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

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