Xingjun Ma

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 125

Top Venues

University of Melbourne, Parkville, Victoria, Australia (PHD)

Education History

University of Melbourne, Parkville, Victoria, Australia

PHD

Publications

Yige Li, Xingjun Ma, Jiabo He, Hanxun Huang, Yu-Gang Jiang
Multi-Trigger Backdoor Attacks: More Triggers, More Threats. CoRR (2024)
Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani, Xingjun Ma, Michael E. Houle, James Bailey
LDReg: Local Dimensionality Regularized Self-Supervised Learning. CoRR (2024)
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
Unlearnable Examples For Time Series. CoRR (2024)
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, Yige Li, James Bailey
End-to-End Anti-Backdoor Learning on Images and Time Series. CoRR (2024)
James Bailey, Michael E. Houle, Xingjun Ma
Relationships between tail entropies and local intrinsic dimensionality and their use for estimation and feature representation. Inf. Syst. 118 (2023)
Tiehua Zhang, Yuze Liu, Zhishu Shen, Xingjun Ma, Xin Chen, Xiaowei Huang, Jun Yin, Jiong Jin
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs. CoRR (2023)
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
Distilling Cognitive Backdoor Patterns within an Image. ICLR (2023)
Yige Li, Xixiang Lyu, Xingjun Ma, Nodens Koren, Lingjuan Lyu, Bo Li, Yu-Gang Jiang
Reconstructive Neuron Pruning for Backdoor Defense. CoRR (2023)
Jiaming Zhang, Xingjun Ma, Xin Wang, Lingyu Qiu, Jiaqi Wang, Yu-Gang Jiang, Jitao Sang
Adversarial Prompt Tuning for Vision-Language Models. CoRR (2023)
Jiaming Zhang, Xingjun Ma, Qi Yi, Jitao Sang, Yu-Gang Jiang, Yaowei Wang, Changsheng Xu
Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples. CVPR (2023)
Yige Li, Xixiang Lyu, Xingjun Ma, Nodens Koren, Lingjuan Lyu, Bo Li, Yu-Gang Jiang
Reconstructive Neuron Pruning for Backdoor Defense. ICML (2023)
Chuxuan Tong, Xi Zheng, Jianhua Li, Xingjun Ma, Longxiang Gao, Yong Xiang
Query-Efficient Black-Box Adversarial Attacks on Automatic Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Jialuo Chen, Youcheng Sun, Jingyi Wang, Peng Cheng, Xingjun Ma
DEEPJUDGE: A Testing Framework for Copyright Protection of Deep Learning Models. ICSE Companion (2023)
Jialuo Chen, Jingyi Wang, Xingjun Ma, Youcheng Sun, Jun Sun, Peixin Zhang, Peng Cheng
QuoTe: Quality-oriented Testing for Deep Learning Systems. ACM Trans. Softw. Eng. Methodol. 32 (5) (2023)
Xiang Zheng, Xingjun Ma, Shengjie Wang, Xinyu Wang, Chao Shen, Cong Wang
IMAP: Intrinsically Motivated Adversarial Policy. CoRR (2023)
Yilun Zhang, Yuqian Fu, Xingjun Ma, Lizhe Qi, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang
On the Importance of Spatial Relations for Few-shot Action Recognition. ACM Multimedia (2023)
Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang
Transferable Unlearnable Examples. ICLR (2023)
Yixu Wang, Yan Teng, Kexin Huang, Chengqi Lyu, Songyang Zhang, Wenwei Zhang, Xingjun Ma, Yu-Gang Jiang, Yu Qiao, Yingchun Wang
Fake Alignment: Are LLMs Really Aligned Well? CoRR (2023)
Yilun Zhang, Yuqian Fu, Xingjun Ma, Lizhe Qi, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang
On the Importance of Spatial Relations for Few-shot Action Recognition. CoRR (2023)
Jiaming Zhang, Xingjun Ma, Qi Yi, Jitao Sang, Yugang Jiang, Yaowei Wang, Changsheng Xu
Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples. CoRR (2023)
Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey
Distilling Cognitive Backdoor Patterns within an Image. CoRR (2023)
Jialuo Chen, Jingyi Wang, Tinglan Peng, Youcheng Sun, Peng Cheng, Shouling Ji, Xingjun Ma, Bo Li, Dawn Song
Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models. IEEE Symposium on Security and Privacy (2022)
Yuhua Sun, Tailai Zhang, Xingjun Ma, Pan Zhou, Jian Lou, Zichuan Xu, Xing Di, Yu Cheng, Lichao Sun
Backdoor Attacks on Crowd Counting. ACM Multimedia (2022)
Chen Chen, Yuchen Liu, Xingjun Ma, Lingjuan Lyu
CalFAT: Calibrated Federated Adversarial Training with Label Skewness. CoRR (2022)
Xiang Zheng, Xingjun Ma, Cong Wang
CIM: Constrained Intrinsic Motivation for Sparse-Reward Continuous Control. CoRR (2022)
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
Backdoor Attacks on Time Series: A Generative Approach. CoRR (2022)
Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Xingjun Ma
ECG-ATK-GAN: Robustness Against Adversarial Attacks on ECGs Using Conditional Generative Adversarial Networks. AMAI@MICCAI (2022)
Yuhua Sun, Tailai Zhang, Xingjun Ma, Pan Zhou, Jian Lou, Zichuan Xu, Xing Di, Yu Cheng, Lichao Sun
Backdoor Attacks on Crowd Counting. CoRR (2022)
Chen Chen, Yuchen Liu, Xingjun Ma, Lingjuan Lyu
CalFAT: Calibrated Federated Adversarial Training with Label Skewness. NeurIPS (2022)
James Bailey, Michael E. Houle, Xingjun Ma
Local Intrinsic Dimensionality, Entropy and Statistical Divergences. Entropy 24 (9) (2022)
Yiming Li, Haoxiang Zhong, Xingjun Ma, Yong Jiang, Shu-Tao Xia
Few-Shot Backdoor Attacks on Visual Object Tracking. CoRR (2022)
Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang
Transferable Unlearnable Examples. CoRR (2022)
Lingjuan Lyu, Yitong Li, Karthik Nandakumar, Jiangshan Yu, Xingjun Ma
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning. IEEE Trans. Dependable Secur. Comput. 19 (2) (2022)
Zhiyuan Zhang, Lingjuan Lyu, Xingjun Ma, Chenguang Wang, Xu Sun
Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models. EMNLP (Findings) (2022)
Xiangshan Gao, Xingjun Ma, Jingyi Wang, Youcheng Sun, Bo Li, Shouling Ji, Peng Cheng, Jiming Chen
VeriFi: Towards Verifiable Federated Unlearning. CoRR (2022)
Zhiyuan Zhang, Lingjuan Lyu, Xingjun Ma, Chenguang Wang, Xu Sun
Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models. CoRR (2022)
Yiming Li, Haoxiang Zhong, Xingjun Ma, Yong Jiang, Shu-Tao Xia
Few-Shot Backdoor Attacks on Visual Object Tracking. ICLR (2022)
Guanli Liu, Lars Kulik, Xingjun Ma, Jianzhong Qi
A Lazy Approach for Efficient Index Learning. CoRR (2021)
Bojia Zi, Shihao Zhao, Xingjun Ma, Yu-Gang Jiang
Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better. ICCV (2021)
Yanchuan Chang, Jianzhong Qi, Egemen Tanin, Xingjun Ma, Hanan Samet
Sub-trajectory Similarity Join with Obfuscation. SSDBM (2021)
Saheed A. Tijani, Xingjun Ma, Ran Zhang, Frank Jiang, Robin Doss
Federated Learning with Extreme Label Skew: A Data Extension Approach. IJCNN (2021)
Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma
Anti-Backdoor Learning: Training Clean Models on Poisoned Data. CoRR (2021)
Yang Bai, Yuyuan Zeng, Yong Jiang, Shu-Tao Xia, Xingjun Ma, Yisen Wang
Improving Adversarial Robustness via Channel-wise Activation Suppressing. ICLR (2021)
R. G. Gayathri, Atul Sajjanhar, Yong Xiang, Xingjun Ma
Multi-class Classification Based Anomaly Detection of Insider Activities. CoRR (2021)
Yang Bai, Yuyuan Zeng, Yong Jiang, Shu-Tao Xia, Xingjun Ma, Yisen Wang
Improving Adversarial Robustness via Channel-wise Activation Suppressing. CoRR (2021)
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang
Unlearnable Examples: Making Personal Data Unexploitable. ICLR (2021)
Jiabo He, Sarah M. Erfani, Xingjun Ma, James Bailey, Ying Chi, Xian-Sheng Hua
$\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression. NeurIPS (2021)
Jialuo Chen, Jingyi Wang, Tinglan Peng, Youcheng Sun, Peng Cheng, Shouling Ji, Xingjun Ma, Bo Li, Dawn Song
Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models. CoRR (2021)
Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma
Anti-Backdoor Learning: Training Clean Models on Poisoned Data. NeurIPS (2021)
Xinyi Xu, Lingjuan Lyu, Xingjun Ma, Chenglin Miao, Chuan Sheng Foo, Bryan Kian Hsiang Low
Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning. NeurIPS (2021)
Nodens Koren, Qiuhong Ke, Yisen Wang, James Bailey, Xingjun Ma
Adversarial Interaction Attack: Fooling AI to Misinterpret Human Intentions. CoRR (2021)
Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang
Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting. CoRR (2021)
Jingyi Wang, Jialuo Chen, Youcheng Sun, Xingjun Ma, Dongxia Wang, Jun Sun, Peng Cheng
RobOT: Robustness-Oriented Testing for Deep Learning Systems. CoRR (2021)
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
Dual Head Adversarial Training. CoRR (2021)
Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang
Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting. IJCAI (2021)
Yisen Wang, Xingjun Ma, James Bailey, Jinfeng Yi, Bowen Zhou, Quanquan Gu
On the Convergence and Robustness of Adversarial Training. CoRR (2021)
Hanxun Huang, Yisen Wang, Sarah M. Erfani, Quanquan Gu, James Bailey, Xingjun Ma
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks. NeurIPS (2021)
Zichan Ruan, Shuiqiao Yang, Lei Pan, Xingjun Ma, Wei Luo, Marthie Grobler
Microwave Link Failures Prediction via LSTM-based Feature Fusion Network. IJCNN (2021)
Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks. ICLR (2021)
Hanxun Huang, Yisen Wang, Sarah Monazam Erfani, Quanquan Gu, James Bailey, Xingjun Ma
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks. CoRR (2021)
Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Lei Pan, Xingjun Ma, Sutharshan Rajasegarar, Chandan Karmaker
ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks. ICMLA (2021)
Yanchuan Chang, Jianzhong Qi, Egemen Tanin, Xingjun Ma, Hanan Samet
Sub-trajectory Similarity Join with Obfuscation. CoRR (2021)
Jiabo He, Wei Liu, Yu Wang, Xingjun Ma, Xian-Sheng Hua
SpineOne: A One-Stage Detection Framework for Degenerative Discs and Vertebrae. BIBM (2021)
Jiabo He, Wei Liu, Yu Wang, Xingjun Ma, Xian-Sheng Hua
SpineOne: A One-Stage Detection Framework for Degenerative Discs and Vertebrae. CoRR (2021)
Bojia Zi, Shihao Zhao, Xingjun Ma, Yu-Gang Jiang
Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better. CoRR (2021)
James Bailey, Michael E. Houle, Xingjun Ma
Relationships Between Local Intrinsic Dimensionality and Tail Entropy. SISAP (2021)
Jingyi Wang, Jialuo Chen, Youcheng Sun, Xingjun Ma, Dongxia Wang, Jun Sun, Peng Cheng
RobOT: Robustness-Oriented Testing for Deep Learning Systems. ICSE (2021)
Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey
Neural Architecture Search via Combinatorial Multi-Armed Bandit. CoRR (2021)
Shihao Zhao, Xingjun Ma, Yisen Wang, James Bailey, Bo Li, Yu-Gang Jiang
What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space. CoRR (2021)
Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks. CoRR (2021)
Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey
Neural Architecture Search via Combinatorial Multi-Armed Bandit. IJCNN (2021)
Xingjun Ma, Yuhao Niu, Lin Gu, Yisen Wang, Yitian Zhao, James Bailey, Feng Lu
Understanding adversarial attacks on deep learning based medical image analysis systems. Pattern Recognit. 110 (2021)
Bojia Zi, Minghao Chang, Jingjing Chen, Xingjun Ma, Yu-Gang Jiang
WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection. CoRR (2021)
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang
Unlearnable Examples: Making Personal Data Unexploitable. CoRR (2021)
R. G. Gayathri, Atul Sajjanhar, Yong Xiang, Xingjun Ma
Anomaly Detection for Scenario-based Insider Activities using CGAN Augmented Data. TrustCom (2021)
Khondker Fariha Hossain, Sharif Amit Kamran, Xingjun Ma, Alireza Tavakkoli
ECG-ATK-GAN: Robustness against Adversarial Attacks on ECG using Conditional Generative Adversarial Networks. CoRR (2021)
Jiabo He, Sarah M. Erfani, Xingjun Ma, James Bailey, Ying Chi, Xian-Sheng Hua
Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression. CoRR (2021)
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
Dual Head Adversarial Training. IJCNN (2021)
Shihao Zhao, Xingjun Ma, Xiang Zheng, James Bailey, Jingjing Chen, Yu-Gang Jiang
Clean-Label Backdoor Attacks on Video Recognition Models. CoRR (2020)
Yunfei Liu, Xingjun Ma, James Bailey, Feng Lu
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks. ECCV (10) (2020)
Shihao Zhao, Xingjun Ma, Xiang Zheng, James Bailey, Jingjing Chen, Yu-Gang Jiang
Clean-Label Backdoor Attacks on Video Recognition Models. CVPR (2020)
Lingjuan Lyu, Han Yu, Xingjun Ma, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu
Privacy and Robustness in Federated Learning: Attacks and Defenses. CoRR (2020)
Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin, Han Yu, Kee Siong Ng
Towards Fair and Privacy-Preserving Federated Deep Models. IEEE Trans. Parallel Distributed Syst. 31 (11) (2020)
Linxi Jiang, Xingjun Ma, Zejia Weng, James Bailey, Yu-Gang Jiang
Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness. CoRR (2020)
Bojia Zi, Minghao Chang, Jingjing Chen, Xingjun Ma, Yu-Gang Jiang
WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection. ACM Multimedia (2020)
Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, Xingjun Ma
Exploiting patterns to explain individual predictions. Knowl. Inf. Syst. 62 (3) (2020)
Yunfei Liu, Xingjun Ma, James Bailey, Feng Lu
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks. CoRR (2020)
Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets. ICLR (2020)
Lingjuan Lyu, Yitong Li, Karthik Nandakumar, Jiangshan Yu, Xingjun Ma
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning. CoRR (2020)
Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri
Short-Term and Long-Term Context Aggregation Network for Video Inpainting. ECCV (4) (2020)
Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. Kai Qin, Yun Yang
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles. CoRR (2020)
Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets. CoRR (2020)
Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah M. Erfani, James Bailey
Normalized Loss Functions for Deep Learning with Noisy Labels. CoRR (2020)
Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri
Short-Term and Long-Term Context Aggregation Network for Video Inpainting. CoRR (2020)
Jesslyn Lamtara, Nathan Hanegbi, Benjamin Talks, Sudanthi N. R. Wijewickrema, Xingjun Ma, Patorn Piromchai, James Bailey, Stephen J. O'Leary
Transfer of Automated Performance Feedback Models to Different Specimens in Virtual Reality Temporal Bone Surgery. AIED (1) (2020)
Yisen Wang, Difan Zou, Jinfeng Yi, James Bailey, Xingjun Ma, Quanquan Gu
Improving Adversarial Robustness Requires Revisiting Misclassified Examples. ICLR (2020)
Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. Kai Qin, Yun Yang
Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles. CVPR (2020)
Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah M. Erfani, James Bailey
Normalized Loss Functions for Deep Learning with Noisy Labels. ICML (2020)
Linxi Jiang, Xingjun Ma, Shaoxiang Chen, James Bailey, Yu-Gang Jiang
Black-box Adversarial Attacks on Video Recognition Models. ACM Multimedia (2019)
Sukarna Barua, Xingjun Ma, Sarah Monazam Erfani, Michael E. Houle, James Bailey
Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xingjun Ma