Xingjun Ma
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
74
Venues
26
Active years
2017–2026
Best venue rank
A*
Where they publish
- A*ICLR12 papers
- A*CVPR7 papers
- A*AAAI6 papers
- A*ICCV6 papers
- A*ICML5 papers
- A*IJCAI4 papers
- BIJCNN4 papers
- A*ACL3 papers
- A*ECCV3 papers
- BCBMS3 papers
- A*EMNLP2 papers
- MulticonferenceICASSP2 papers
- A*ICSE2 papers
- AMICCAI2 papers
- AAIED2 papers
- A*WWW1 paper
- ACIKM1 paper
- ADSN1 paper
- ANAACL1 paper
- BPAKDD1 paper
- ASDM1 paper
- A*SP1 paper
- CICMLA1 paper
- BTrustCom1 paper
- BSISAP1 paper
- BSSDBM1 paper
Papers
74 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | SIDE: Surrogate Conditional Data Extraction from Diffusion Models. | Yunhao Chen, Shujie Wang, Difan Zou, Xingjun Ma |
| 2026 | AAAI | Coarse-to-Fine Open-Set Graph Node Classification with Large Language Models. | Xueqi Ma, Xingjun Ma, Sarah Monazam Erfani, Danilo P. Mandic, James Bailey |
| 2026 | ACL | BackdoorAgent: A Unified Framework for Backdoor Attacks on LLM-based Agents. | Yunhao Feng, Yige Li, Yutao Wu, Yingshui Tan, Yanming Guo, Yifan Ding, Kun Zhai, Xingjun Ma, Yu-Gang Jiang |
| 2026 | ACL | AgenticEval: Toward Agentic and Self-Evolving Safety Evaluation of Large Language Models. | Yixu Wang, Xin Wang, Yang Yao, Xinyuan Li, Xibang Yang, Yan Teng, Xingjun Ma, Yingchun Wang |
| 2026 | ACL | Deliberative Searcher: Improving LLM Reliability via Reinforcement Learning with Constraints. | Zhenyun Yin, Shujie Wang, Xuhong Wang, Xingjun Ma, Yingchun Wang |
| 2026 | WWW | PaperAsk: A Benchmark for Reliability Evaluation of LLMs in Paper Search and Reading. | Yutao Wu, Xiao Liu, Yunhao Feng, Jiale Ding, Xingjun Ma |
| 2025 | AAAI | AIM: Additional Image Guided Generation of Transferable Adversarial Attacks. | Teng Li, Xingjun Ma, Yu-Gang Jiang |
| 2025 | AAAI | HoneypotNet: Backdoor Attacks Against Model Extraction. | Yixu Wang, Tianle Gu, Yan Teng, Yingchun Wang, Xingjun Ma |
| 2025 | AAAI | CALM: Curiosity-Driven Auditing for Large Language Models. | Xiang Zheng, Longxiang Wang, Yi Liu, Xingjun Ma, Chao Shen, Cong Wang |
| 2025 | CIKM | MMFair: Fair Learning via Min-Min Optimization. | Kejie Fang, Kun Zhai, Xingjun Ma |
| 2025 | CVPR | TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models. | Xin Wang, Kai Chen, Jiaming Zhang, Jingjing Chen, Xingjun Ma |
| 2025 | CVPR | Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks. | Yong Xie, Weijie Zheng, Hanxun Huang, Guangnan Ye, Xingjun Ma |
| 2025 | CVPR | Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models. | Jiaming Zhang, Junhong Ye, Xingjun Ma, Yige Li, Yunfan Yang, Yunhao Chen, Jitao Sang, Dit-Yan Yeung |
| 2025 | EMNLP | Optimizing Cross-Client Domain Coverage for Federated Instruction Tuning of Large Language Models. | Zezhou Wang, Yaxin Du, Xingjun Ma, Yu-Gang Jiang, Zhuzhong Qian, Siheng Chen |
| 2025 | ICASSP | Enhancing Federated Knowledge Distillation in Heterogeneous and Non-IID Scenarios. | Wenjie Lv, Yu He, Sen Liu, Xingjun Ma, Xiang Liu, Guangnan Ye, Hongfeng Chai |
| 2025 | ICASSP | FedCAda: Adaptive Client-Side Optimization for Accelerated and Stable Federated Learning. | Liuzhi Zhou, Yu He, Kun Zhai, Xiang Liu, Sen Liu, Xingjun Ma, Guangnan Ye, Hongfeng Chai |
| 2025 | ICCV | Free-Form Motion Control: Controlling the 6D Poses of Camera and Objects in Video Generation. | Xincheng Shuai, Henghui Ding, Zhenyuan Qin, Hao Luo, Xingjun Ma, Dacheng Tao |
| 2025 | ICCV | Ideator: Jailbreaking and Benchmarking Large Vision-Language Models Using Themselves. | Ruofan Wang, Juncheng Li, Yixu Wang, Bo Wang, Xiaosen Wang, Yan Teng, Yingchun Wang, Xingjun Ma, Yu-Gang Jiang |
| 2025 | ICCV | BadPatch: Diffusion-Based Generation of Physical Adversarial Patches. | Zhixiang Wang, Xingjun Ma, Yu-Gang Jiang |
| 2025 | ICCV | StolenLoRA: Exploring LoRA Extraction Attacks via Synthetic Data. | Yixu Wang, Yan Teng, Yingchun Wang, Xingjun Ma |
| 2025 | ICLR | Detecting Backdoor Samples in Contrastive Language Image Pretraining. | Hanxun Huang, Sarah Monazam Erfani, Yige Li, Xingjun Ma, James Bailey |
| 2025 | ICLR | BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks. | Yunhan Zhao, Xiang Zheng, Lin Luo, Yige Li, Xingjun Ma, Yu-Gang Jiang |
| 2025 | ICML | X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP. | Hanxun Huang, Sarah Monazam Erfani, Yige Li, Xingjun Ma, James Bailey |
| 2024 | DSN | Toward Evaluating Robustness of Reinforcement Learning with Adversarial Policy. | Xiang Zheng, Xingjun Ma, Shengjie Wang, Xinyu Wang, Chao Shen, Cong Wang |
| 2024 | ECCV | Adversarial Prompt Tuning for Vision-Language Models. | Jiaming Zhang, Xingjun Ma, Xin Wang, Lingyu Qiu, Jiaqi Wang, Yu-Gang Jiang, Jitao Sang |
| 2024 | ICLR | LDReg: Local Dimensionality Regularized Self-Supervised Learning. | Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani, Xingjun Ma, Michael E. Houle, James Bailey |
| 2024 | IJCAI | Constrained Intrinsic Motivation for Reinforcement Learning. | Xiang Zheng, Xingjun Ma, Chao Shen, Cong Wang |
| 2024 | NAACL | Fake Alignment: Are LLMs Really Aligned Well? | Yixu Wang, Yan Teng, Kexin Huang, Chengqi Lyu, Songyang Zhang, Wenwei Zhang, Xingjun Ma, Yu-Gang Jiang, Yu Qiao, Yingchun Wang |
| 2024 | PAKDD | Unlearnable Examples for Time Series. | Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey |
| 2024 | SDM | Training Sparse Graph Neural Networks via Pruning and Sprouting. | Xueqi Ma, Xingjun Ma, Sarah M. Erfani, James Bailey |
| 2023 | CVPR | Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples. | Jiaming Zhang, Xingjun Ma, Qi Yi, Jitao Sang, Yu-Gang Jiang, Yaowei Wang, Changsheng Xu |
| 2023 | ICLR | Distilling Cognitive Backdoor Patterns within an Image. | Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey |
| 2023 | ICLR | Transferable Unlearnable Examples. | Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang |
| 2023 | ICML | Reconstructive Neuron Pruning for Backdoor Defense. | Yige Li, Xixiang Lyu, Xingjun Ma, Nodens Koren, Lingjuan Lyu, Bo Li, Yu-Gang Jiang |
| 2023 | ICSE | DEEPJUDGE: A Testing Framework for Copyright Protection of Deep Learning Models. | Jialuo Chen, Youcheng Sun, Jingyi Wang, Peng Cheng, Xingjun Ma |
| 2022 | EMNLP | Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models. | Zhiyuan Zhang, Lingjuan Lyu, Xingjun Ma, Chenguang Wang, Xu Sun |
| 2022 | ICLR | Few-Shot Backdoor Attacks on Visual Object Tracking. | Yiming Li, Haoxiang Zhong, Xingjun Ma, Yong Jiang, Shu-Tao Xia |
| 2022 | MICCAI | ECG-ATK-GAN: Robustness Against Adversarial Attacks on ECGs Using Conditional Generative Adversarial Networks. | Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Xingjun Ma |
| 2022 | SP | Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models. | Jialuo Chen, Jingyi Wang, Tinglan Peng, Youcheng Sun, Peng Cheng, Shouling Ji, Xingjun Ma, Bo Li, Dawn Song |
| 2021 | ICCV | Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better. | Bojia Zi, Shihao Zhao, Xingjun Ma, Yu-Gang Jiang |
| 2021 | ICLR | Improving Adversarial Robustness via Channel-wise Activation Suppressing. | Yang Bai, Yuyuan Zeng, Yong Jiang, Shu-Tao Xia, Xingjun Ma, Yisen Wang |
| 2021 | ICLR | Unlearnable Examples: Making Personal Data Unexploitable. | Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang |
| 2021 | ICLR | Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks. | Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma |
| 2021 | ICMLA | ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks. | Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Lei Pan, Xingjun Ma, Sutharshan Rajasegarar, Chandan Karmaker |
| 2021 | IJCAI | Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting. | Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang |
| 2021 | IJCNN | Neural Architecture Search via Combinatorial Multi-Armed Bandit. | Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey |
| 2021 | IJCNN | Dual Head Adversarial Training. | Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey |
| 2021 | IJCNN | Microwave Link Failures Prediction via LSTM-based Feature Fusion Network. | Zichan Ruan, Shuiqiao Yang, Lei Pan, Xingjun Ma, Wei Luo, Marthie Grobler |
| 2021 | IJCNN | Federated Learning with Extreme Label Skew: A Data Extension Approach. | Saheed A. Tijani, Xingjun Ma, Ran Zhang, Frank Jiang, Robin Doss |
| 2021 | ICSE | RobOT: Robustness-Oriented Testing for Deep Learning Systems. | Jingyi Wang, Jialuo Chen, Youcheng Sun, Xingjun Ma, Dongxia Wang, Jun Sun, Peng Cheng |
| 2021 | TrustCom | Anomaly Detection for Scenario-based Insider Activities using CGAN Augmented Data. | R. G. Gayathri, Atul Sajjanhar, Yong Xiang, Xingjun Ma |
| 2021 | SISAP | Relationships Between Local Intrinsic Dimensionality and Tail Entropy. | James Bailey, Michael E. Houle, Xingjun Ma |
| 2021 | SSDBM | Sub-trajectory Similarity Join with Obfuscation. | Yanchuan Chang, Jianzhong Qi, Egemen Tanin, Xingjun Ma, Hanan Samet |
| 2020 | AIED | Transfer of Automated Performance Feedback Models to Different Specimens in Virtual Reality Temporal Bone Surgery. | Jesslyn Lamtara, Nathan Hanegbi, Benjamin Talks, Sudanthi N. R. Wijewickrema, Xingjun Ma, Patorn Piromchai, James Bailey, Stephen J. O'Leary |
| 2020 | CVPR | Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles. | Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. K. Qin, Yun Yang |
| 2020 | CVPR | Clean-Label Backdoor Attacks on Video Recognition Models. | Shihao Zhao, Xingjun Ma, Xiang Zheng, James Bailey, Jingjing Chen, Yu-Gang Jiang |
| 2020 | ECCV | Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks. | Yunfei Liu, Xingjun Ma, James Bailey, Feng Lu |
| 2020 | ECCV | Short-Term and Long-Term Context Aggregation Network for Video Inpainting. | Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri |
| 2020 | ICLR | Improving Adversarial Robustness Requires Revisiting Misclassified Examples. | Yisen Wang, Difan Zou, Jinfeng Yi, James Bailey, Xingjun Ma, Quanquan Gu |
| 2020 | ICLR | Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets. | Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma |
| 2020 | ICML | Normalized Loss Functions for Deep Learning with Noisy Labels. | Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah M. Erfani, James Bailey |
| 2019 | ICCV | Symmetric Cross Entropy for Robust Learning With Noisy Labels. | Yisen Wang, Xingjun Ma, Zaiyi Chen, Yuan Luo, Jinfeng Yi, James Bailey |
| 2019 | ICML | On the Convergence and Robustness of Adversarial Training. | Yisen Wang, Xingjun Ma, James Bailey, Jinfeng Yi, Bowen Zhou, Quanquan Gu |
| 2019 | IJCAI | Generative Image Inpainting with Submanifold Alignment. | Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Kotagiri Ramamohanarao |
| 2018 | AIED | Providing Automated Real-Time Technical Feedback for Virtual Reality Based Surgical Training: Is the Simpler the Better? | Sudanthi N. R. Wijewickrema, Xingjun Ma, Patorn Piromchai, Robert Briggs, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary |
| 2018 | CBMS | Development and Validation of a Virtual Reality Tutor to Teach Clinically Oriented Surgical Anatomy of the Ear. | Sudanthi N. R. Wijewickrema, Bridget Copson, Xingjun Ma, Robert Briggs, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary |
| 2018 | CVPR | Iterative Learning With Open-Set Noisy Labels. | Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia |
| 2018 | ICLR | Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. | Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E. Houle, James Bailey |
| 2018 | ICML | Dimensionality-Driven Learning with Noisy Labels. | Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi N. R. Wijewickrema, James Bailey |
| 2017 | AAAI | Unbiased Multivariate Correlation Analysis. | Yisen Wang, Simone Romano, Vinh Nguyen, James Bailey, Xingjun Ma, Shu-Tao Xia |
| 2017 | CBMS | Simulation for Training Cochlear Implant Electrode Insertion. | Xingjun Ma, Sudanthi N. R. Wijewickrema, Yun Zhou, Bridget Copson, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary |
| 2017 | CBMS | Design and Evaluation of a Virtual Reality Simulation Module for Training Advanced Temporal Bone Surgery. | Sudanthi N. R. Wijewickrema, Bridget Copson, Yun Zhou, Xingjun Ma, Robert Briggs, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary |
| 2017 | IJCAI | Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training. | Xingjun Ma, Sudanthi N. R. Wijewickrema, Shuo Zhou, Yun Zhou, Zakaria Mhammedi, Stephen J. O'Leary, James Bailey |
| 2017 | MICCAI | Providing Effective Real-Time Feedback in Simulation-Based Surgical Training. | Xingjun Ma, Sudanthi N. R. Wijewickrema, Yun Zhou, Shuo Zhou, Stephen J. O'Leary, James Bailey |