Xingjun Ma

249 papers A* 56A 3B 10C 1Misc 3Journal 158Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5.
CoRR
Xingjun Ma, Yixu Wang, Hengyuan Xu, Yutao Wu, Yifan Ding, Yunhan Zhao, Zilong Wang, Jiabin Hua, Ming Wen, Jianan Liu, Ranjie Duan, Yifeng Gao, Yingshui Tan, Yunhao Chen, Hui Xue, Xin Wang, Wei Cheng, Jingjing Chen, Zuxuan Wu, Bo Li, Yu-Gang Jiang
2026 J jnl
Attention in Space: Functional Roles of VLM Heads for Spatial Reasoning.
CoRR
Xueqi Ma, Shuo Yang, Yanbei Jiang, Shu Liu, Zhenzhen Liu, Jiayang Ao, Xingjun Ma, Sarah Monazam Erfani, James Bailey
2026 J jnl
Backdoor4Good: Benchmarking Beneficial Uses of Backdoors in LLMs.
CoRR
Yige Li, Wei Zhao, Zhe Li, Nay Myat Min, Hanxun Huang, Yunhan Zhao, Xingjun Ma, Yu-Gang Jiang, Jun Sun
2026 J jnl
BackdoorAgent: A Unified Framework for Backdoor Attacks on LLM-based Agents.
CoRR
Yunhao Feng, Yige Li, Yutao Wu, Yingshui Tan, Yanming Guo, Yifan Ding, Kun Zhai, Xingjun Ma, Yu-Gang Jiang
2026 A* conf
Coarse-to-Fine Open-Set Graph Node Classification with Large Language Models.
AAAI
Xueqi Ma, Xingjun Ma, Sarah Monazam Erfani, Danilo P. Mandic, James Bailey
2026 J jnl
FRoM-W1: Towards General Humanoid Whole-Body Control with Language Instructions.
CoRR
Peng Li, Zihan Zhuang, Yangfan Gao, Yi Dong, Sixian Li, Changhao Jiang, Shihan Dou, Zhiheng Xi, Enyu Zhou, Jixuan Huang, Hui Li, Jingjing Gong, Xingjun Ma, Tao Gui, Zuxuan Wu, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang, Xipeng Qiu
2026 J jnl
Internal Safety Collapse in Frontier Large Language Models.
CoRR
Yutao Wu, Xiao Liu, Yifeng Gao, Xiang Zheng, Hanxun Huang, Yige Li, Cong Wang, Bo Li, Xingjun Ma, Yu-Gang Jiang
2026 J jnl
Just Ask: Curious Code Agents Reveal System Prompts in Frontier LLMs.
CoRR
Xiang Zheng, Yutao Wu, Hanxun Huang, Yige Li, Xingjun Ma, Bo Li, Yu-Gang Jiang, Cong Wang
2026 J jnl
Mirror: A Multi-Agent System for AI-Assisted Ethics Review.
CoRR
Yifan Ding, Yuhui Shi, Zhiyan Li, Zilong Wang, Yifeng Gao, Yajun Yang, Mengjie Yang, Yixiu Liang, Xipeng Qiu, Xuanjing Huang, Xingjun Ma, Yu-Gang Jiang, Guoyu Wang
2026 J jnl
OOD-MMSafe: Advancing MLLM Safety from Harmful Intent to Hidden Consequences.
CoRR
Ming Wen, Kun Yang, Jingyu Zhang, Yuxuan Liu, Shiwen Cui, Shouling Ji, Xingjun Ma
2026 J jnl
OmniLottie: Generating Vector Animations via Parameterized Lottie Tokens.
CoRR
Yiying Yang, Wei Cheng, Sijin Chen, Honghao Fu, Xianfang Zeng, Yujun Cai, Gang Yu, Xingjun Ma
2026 A* conf
PaperAsk: A Benchmark for Reliability Evaluation of LLMs in Paper Search and Reading.
WWW
Yutao Wu, Xiao Liu, Yunhao Feng, Jiale Ding, Xingjun Ma
2026 J jnl
PixelSmile: Toward Fine-Grained Facial Expression Editing.
CoRR
Jiabin Hua, Hengyuan Xu, Aojie Li, Wei Cheng, Gang Yu, Xingjun Ma, Yu-Gang Jiang
2026 J jnl
RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry.
CoRR
Xinchang Wang, Yunhao Chen, Yuechen Zhang, Congcong Bian, Zihao Guo, Xingjun Ma, Hui Li
2026 A* conf
SIDE: Surrogate Conditional Data Extraction from Diffusion Models.
AAAI
Yunhao Chen, Shujie Wang, Difan Zou, Xingjun Ma
2026 J jnl
SciAgentGym: Benchmarking Multi-Step Scientific Tool-use in LLM Agents.
CoRR
Yujiong Shen, Yajie Yang, Zhiheng Xi, Binze Hu, Huayu Sha, Jiazheng Zhang, Qiyuan Peng, Junlin Shang, Jixuan Huang, Yutao Fan, Jingqi Tong, Shihan Dou, Ming Zhang, Lei Bai, Zhenfei Yin, Tao Gui, Xingjun Ma, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang
2026 J jnl
Shortcuts Everywhere and Nowhere: Exploring Multi-Trigger Backdoor Attacks.
IEEE Trans. Dependable Secur. Comput.
Yige Li, Jiabo He, Hanxun Huang, Jun Sun, Xingjun Ma, Yu-Gang Jiang
2026 J jnl
Toward Universal and Transferable Jailbreak Attacks on Vision-Language Models.
CoRR
Kaiyuan Cui, Yige Li, Yutao Wu, Xingjun Ma, Sarah M. Erfani, Christopher Leckie, Hanxun Huang
2025 J jnl
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment.
CoRR
Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, Liang Lin, Zhihao Xu, Haolang Lu, Xinye Cao, Xinyun Zhou, Weifei Jin, Fanci Meng, Junyuan Mao, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Chengwei Liu, Yifan Zhang, Qiankun Li, Chongye Guo, Yalan Qin, Yi Ding, Donghai Hong, Jiaming Ji, Xinfeng Li, Yifan Jiang, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Yanwei Yue, Wenke Huang, Guancheng Wan, Tianlin Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Joey Tianyi Zhou, Xiaojun Jia, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Tianwei Zhang, Xingjun Ma, Xiang Wang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Yuval Elovici, Bhavya Kailkhura, Bo Li, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu-Gang Jiang, Felix Juefei-Xu, Hui Xiong, Xiaofeng Wang, Shuicheng Yan, Dacheng Tao, Philip S. Yu, Qingsong Wen, Yang Liu
2025 J jnl
ADMIT: Few-shot Knowledge Poisoning Attacks on RAG-based Fact Checking.
CoRR
Yutao Wu, Xiao Liu, Yinghui Li, Yifeng Gao, Yifan Ding, Jiale Ding, Xiang Zheng, Xingjun Ma
2025 A* conf
AIM: Additional Image Guided Generation of Transferable Adversarial Attacks.
AAAI
Teng Li, Xingjun Ma, Yu-Gang Jiang
2025 J jnl
AIM: Additional Image Guided Generation of Transferable Adversarial Attacks.
CoRR
Teng Li, Xingjun Ma, Yu-Gang Jiang
2025 A* conf
Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models.
CVPR
Jiaming Zhang, Junhong Ye, Xingjun Ma, Yige Li, Yunfan Yang, Yunhao Chen, Jitao Sang, Dit-Yan Yeung
2025 J jnl
AttackVLA: Benchmarking Adversarial and Backdoor Attacks on Vision-Language-Action Models.
CoRR
Jiayu Li, Yunhan Zhao, Xiang Zheng, Zonghuan Xu, Yige Li, Xingjun Ma, Yu-Gang Jiang
2025 J jnl
AutoBackdoor: Automating Backdoor Attacks via LLM Agents.
CoRR
Yige Li, Zhe Li, Wei Zhao, Nay Myat Min, Hanxun Huang, Xingjun Ma, Jun Sun
2025 J jnl
BackdoorVLM: A Benchmark for Backdoor Attacks on Vision-Language Models.
CoRR
Juncheng Li, Yige Li, Hanxun Huang, Yunhao Chen, Xin Wang, Yixu Wang, Xingjun Ma, Yu-Gang Jiang
2025 — conf
BadPatch: Diffusion-Based Generation of Physical Adversarial Patches.
ICCVW
Zhixiang Wang, Xingjun Ma, Yu-Gang Jiang
2025 A* conf
BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks.
ICLR
Yunhan Zhao, Xiang Zheng, Lin Luo, Yige Li, Xingjun Ma, Yu-Gang Jiang
2025 A* conf
BrokenVideos: A Benchmark Dataset for Fine-Grained Artifact Localization in AI-Generated Videos.
ACM Multimedia
Jiahao Lin, Weixuan Peng, Bojia Zi, Yifeng Gao, Xianbiao Qi, Xingjun Ma, Yu-Gang Jiang
2025 J jnl
BrokenVideos: A Benchmark Dataset for Fine-Grained Artifact Localization in AI-Generated Videos.
CoRR
Jiahao Lin, Weixuan Peng, Bojia Zi, Yifeng Gao, Xianbiao Qi, Xingjun Ma, Yu-Gang Jiang
2025 A* conf
CALM: Curiosity-Driven Auditing for Large Language Models.
AAAI
Xiang Zheng, Longxiang Wang, Yi Liu, Xingjun Ma, Chao Shen, Cong Wang
2025 J jnl
CALM: Curiosity-Driven Auditing for Large Language Models.
CoRR
Xiang Zheng, Longxiang Wang, Yi Liu, Xingjun Ma, Chao Shen, Cong Wang
2025 J jnl
Coarse-to-Fine Open-Set Graph Node Classification with Large Language Models.
CoRR
Xueqi Ma, Xingjun Ma, Sarah Monazam Erfani, Danilo P. Mandic, James Bailey
2025 J jnl
DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning.
CoRR
Yifeng Gao, Yifan Ding, Hongyu Su, Juncheng Li, Yunhan Zhao, Lin Luo, Zixing Chen, Li Wang, Xin Wang, Yixu Wang, Xingjun Ma, Yu-Gang Jiang
2025 J jnl
Defense-to-Attack: Bypassing Weak Defenses Enables Stronger Jailbreaks in Vision-Language Models.
CoRR
Yunhan Zhao, Xiang Zheng, Xingjun Ma
2025 A* conf
Detecting Backdoor Samples in Contrastive Language Image Pretraining.
ICLR
Hanxun Huang, Sarah Monazam Erfani, Yige Li, Xingjun Ma, James Bailey
2025 J jnl
Detecting Backdoor Samples in Contrastive Language Image Pretraining.
CoRR
Hanxun Huang, Sarah M. Erfani, Yige Li, Xingjun Ma, James Bailey
2025 J jnl
Do We Really Need SFT? Prompt-as-Policy over Knowledge Graphs for Cold-start Next POI Recommendation.
CoRR
Jinze Wang, Lu Zhang, Yiyang Cui, Zhishu Shen, Xingjun Ma, Jiong Jin, Tiehua Zhang
2025 Misc conf
Enhancing Federated Knowledge Distillation in Heterogeneous and Non-IID Scenarios.
ICASSP
Wenjie Lv, Yu He, Sen Liu, Xingjun Ma, Xiang Liu, Guangnan Ye, Hongfeng Chai
2025 J jnl
Evolve the Method, Not the Prompts: Evolutionary Synthesis of Jailbreak Attacks on LLMs.
CoRR
Yunhao Chen, Xin Wang, Juncheng Li, Yixu Wang, Jie Li, Yan Teng, Yingchun Wang, Xingjun Ma
2025 A* conf
FedAPT: Federated Adversarial Prompt Tuning for Vision-Language Models.
ACM Multimedia
Kun Zhai, Siheng Chen, Xingjun Ma, Yu-Gang Jiang
2025 J jnl
FedAPT: Federated Adversarial Prompt Tuning for Vision-Language Models.
CoRR
Kun Zhai, Siheng Chen, Xingjun Ma, Yu-Gang Jiang
2025 Misc conf
FedCAda: Adaptive Client-Side Optimization for Accelerated and Stable Federated Learning.
ICASSP
Liuzhi Zhou, Yu He, Kun Zhai, Xiang Liu, Sen Liu, Xingjun Ma, Guangnan Ye, Hongfeng Chai
2025 J jnl
Free-Form Motion Control: A Synthetic Video Generation Dataset with Controllable Camera and Object Motions.
CoRR
Xincheng Shuai, Henghui Ding, Zhenyuan Qin, Hao Luo, Xingjun Ma, Dacheng Tao
2025 J jnl
FreezeVLA: Action-Freezing Attacks against Vision-Language-Action Models.
CoRR
Xin Wang, Jie Li, Zejia Weng, Yixu Wang, Yifeng Gao, Tianyu Pang, Chao Du, Yan Teng, Yingchun Wang, Zuxuan Wu, Xingjun Ma, Yu-Gang Jiang
2025 A* conf
From Failures to Fixes: LLM-Driven Scenario Repair for Self-Evolving Autonomous Driving.
ACM Multimedia
Xinyu Xia, Xingjun Ma, Yunfeng Hu, Ting Qu, Hong Chen, Xun Gong
2025 J jnl
From Failures to Fixes: LLM-Driven Scenario Repair for Self-Evolving Autonomous Driving.
CoRR
Xinyu Xia, Xingjun Ma, Yunfeng Hu, Ting Qu, Hong Chen, Xun Gong
2025 J jnl
GenBreak: Red Teaming Text-to-Image Generators Using Large Language Models.
CoRR
Zilong Wang, Xiang Zheng, Xiaosen Wang, Bo Wang, Xingjun Ma, Yu-Gang Jiang
2025 A* conf
HoneypotNet: Backdoor Attacks Against Model Extraction.
AAAI
Yixu Wang, Tianle Gu, Yan Teng, Yingchun Wang, Xingjun Ma
2025 J jnl
HoneypotNet: Backdoor Attacks Against Model Extraction.
CoRR
Yixu Wang, Tianle Gu, Yan Teng, Yingchun Wang, Xingjun Ma
2025 J jnl
Identity Lock: Locking API Fine-tuned LLMs With Identity-based Wake Words.
CoRR
Hongyu Su, Yifeng Gao, Yifan Ding, Xingjun Ma
2025 J jnl
Imperceptible Jailbreaking against Large Language Models.
CoRR
Kuofeng Gao, Yiming Li, Chao Du, Xin Wang, Xingjun Ma, Shu-Tao Xia, Tianyu Pang
2025 J jnl
JailBound: Jailbreaking Internal Safety Boundaries of Vision-Language Models.
CoRR
Jiaxin Song, Yixu Wang, Jie Li, Rui Yu, Yan Teng, Xingjun Ma, Yingchun Wang
2025 J jnl
LeakyCLIP: Extracting Training Data from CLIP.
CoRR
Yunhao Chen, Shujie Wang, Xin Wang, Xingjun Ma
2025 J jnl
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs.
IEEE Trans. Artif. Intell.
Tiehua Zhang, Yuze Liu, Zhishu Shen, Xingjun Ma, Peng Qi, Zhijun Ding, Jiong Jin
2025 A conf
MMFair: Fair Learning via Min-Min Optimization.
CIKM
Kejie Fang, Kun Zhai, Xingjun Ma
2025 J jnl
NAP-Tuning: Neural Augmented Prompt Tuning for Adversarially Robust Vision-Language Models.
CoRR
Jiaming Zhang, Xin Wang, Xingjun Ma, Lingyu Qiu, Yu-Gang Jiang, Jitao Sang
2025 J jnl
OmniSVG: A Unified Scalable Vector Graphics Generation Model.
CoRR
Yiying Yang, Wei Cheng, Sijin Chen, Xianfang Zeng, Jiaxu Zhang, Liao Wang, Gang Yu, Xingjun Ma, Yu-Gang Jiang
2025 — conf
Optimizing Cross-Client Domain Coverage for Federated Instruction Tuning of Large Language Models.
EMNLP (Findings)
Zezhou Wang, Yaxin Du, Xingjun Ma, Yu-Gang Jiang, Zhuzhong Qian, Siheng Chen
2025 J jnl
Oyster-I: Beyond Refusal - Constructive Safety Alignment for Responsible Language Models.
CoRR
Ranjie Duan, Jiexi Liu, Xiaojun Jia, Shiji Zhao, Ruoxi Cheng, Fengxiang Wang, Cheng Wei, Yong Xie, Chang Liu, Defeng Li, Yinpeng Dong, Yichi Zhang, Yuefeng Chen, Chongwen Wang, Xingjun Ma, Xingxing Wei, Yang Liu, Hang Su, Jun Zhu, Xinfeng Li, Yitong Sun, Jie Zhang, Jinzhao Hu, Sha Xu, Wenchao Yang, Yitong Yang, Xingyao Zhang, Yingshui Tan, Jialing Tao, Hui Xue
2025 J jnl
PaperAsk: A Benchmark for Reliability Evaluation of LLMs in Paper Search and Reading.
CoRR
Yutao Wu, Xiao Liu, Yunhao Feng, Jiale Ding, Xingjun Ma
2025 J jnl
ROSE: Toward Reality-Oriented Safety Evaluation of Large Language Models.
CoRR
Jiale Ding, Xiang Zheng, Cong Wang, Wei-Bin Lee, Xingjun Ma, Yu-Gang Jiang
2025 J jnl
RedRFT: A Light-Weight Benchmark for Reinforcement Fine-Tuning-Based Red Teaming.
CoRR
Xiang Zheng, Xingjun Ma, Wei-Bin Lee, Cong Wang
2025 J jnl
Reinforced Diffuser for Red Teaming Large Vision-Language Models.
CoRR
Ruofan Wang, Xiang Zheng, Xiaosen Wang, Cong Wang, Xingjun Ma
2025 J jnl
SAMA: Towards Multi-Turn Referential Grounded Video Chat with Large Language Models.
CoRR
Ye Sun, Hao Zhang, Henghui Ding, Tiehua Zhang, Xingjun Ma, Yu-Gang Jiang
2025 J jnl
SafeEvalAgent: Toward Agentic and Self-Evolving Safety Evaluation of LLMs.
CoRR
Yixu Wang, Xin Wang, Yang Yao, Xinyuan Li, Yan Teng, Xingjun Ma, Yingchun Wang
2025 J jnl
SafeVid: Toward Safety Aligned Video Large Multimodal Models.
CoRR
Yixu Wang, Jiaxin Song, Yifeng Gao, Xin Wang, Yang Yao, Yan Teng, Xingjun Ma, Yingchun Wang, Yu-Gang Jiang
2025 J jnl
Safety at Scale: A Comprehensive Survey of Large Model Safety.
CoRR
Xingjun Ma, Yifeng Gao, Yixu Wang, Ruofan Wang, Xin Wang, Ye Sun, Yifan Ding, Hengyuan Xu, Yunhao Chen, Yunhan Zhao, Hanxun Huang, Yige Li, Jiaming Zhang, Xiang Zheng, Yang Bai, Zuxuan Wu, Xipeng Qiu, Jingfeng Zhang, Yiming Li, Jun Sun, Cong Wang, Jindong Gu, Baoyuan Wu, Siheng Chen, Tianwei Zhang, Yang Liu, Mingming Gong, Tongliang Liu, Shirui Pan, Cihang Xie, Tianyu Pang, Yinpeng Dong, Ruoxi Jia, Yang Zhang, Shiqing Ma, Xiangyu Zhang, Neil Gong, Chaowei Xiao, Sarah M. Erfani, Bo Li, Masashi Sugiyama, Dacheng Tao, James Bailey, Yu-Gang Jiang
2025 J jnl
Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety.
Found. Trends Priv. Secur.
Xingjun Ma, Yifeng Gao, Yixu Wang, Ruofan Wang, Xin Wang, Ye Sun, Yifan Ding, Hengyuan Xu, Yunhao Chen, Yunhao Zhao, Hanxun Huang, Yige Li, Yutao Wu, Jiaming Zhang, Xiang Zheng, Yang Bai, Yiming Li, Zuxuan Wu, Xipeng Qiu, Jingfeng Zhang, Xudong Han, Haonan Li, Jun Sun, Cong Wang, Jindong Gu, Baoyuan Wu, Siheng Chen, Tianwei Zhang, Yang Liu, Mingming Gong, Tongliang Liu, Shirui Pan, Cihang Xie, Tianyu Pang, Yinpeng Dong, Ruoxi Jia, Yang Zhang, Shiqing Ma, Xiangyu Zhang, Neil Gong, Chaowei Xiao, Sarah M. Erfani, Tim Baldwin, Bo Li, Masashi Sugiyama, Dacheng Tao, James Bailey, Yu-Gang Jiang
2025 J jnl
Simulated Ensemble Attack: Transferring Jailbreaks Across Fine-tuned Vision-Language Models.
CoRR
Ruofan Wang, Xin Wang, Yang Yao, Xuan Tong, Xingjun Ma
2025 J jnl
StolenLoRA: Exploring LoRA Extraction Attacks via Synthetic Data.
CoRR
Yixu Wang, Yan Teng, Yingchun Wang, Xingjun Ma
2025 A* conf
T2UE: Generating Unlearnable Examples from Text Descriptions.
ACM Multimedia
Xingjun Ma, Hanxun Huang, Tianwei Song, Ye Sun, Yifeng Gao, Yu-Gang Jiang
2025 J jnl
T2UE: Generating Unlearnable Examples from Text Descriptions.
CoRR
Xingjun Ma, Hanxun Huang, Tianwei Song, Ye Sun, Yifeng Gao, Yu-Gang Jiang
2025 A* conf
TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models.
CVPR
Xin Wang, Kai Chen, Jiaming Zhang, Jingjing Chen, Xingjun Ma
2025 J jnl
TabVLA: Targeted Backdoor Attacks on Vision-Language-Action Models.
CoRR
Zonghuan Xu, Xiang Zheng, Xingjun Ma, Yu-Gang Jiang
2025 J jnl
Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks.
CoRR
Yixin Cao, Shibo Hong, Xinze Li, Jiahao Ying, Yubo Ma, Haiyuan Liang, Yantao Liu, Zijun Yao, Xiaozhi Wang, Dan Huang, Wenxuan Zhang, Lifu Huang, Muhao Chen, Lei Hou, Qianru Sun, Xingjun Ma, Zuxuan Wu, Min-Yen Kan, David Lo, Qi Zhang, Heng Ji, Jing Jiang, Juanzi Li, Aixin Sun, Xuanjing Huang, Tat-Seng Chua, Yu-Gang Jiang
2025 A* conf
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks.
CVPR
Yong Xie, Weijie Zheng, Hanxun Huang, Guangnan Ye, Xingjun Ma
2025 — conf
Whose Side are You on: Investigating Political Bias of Large Language Models.
AI (1)
Pagnarasmey Pit, Xingjun Ma, Mike Conway, Qingyu Chen, James Bailey, Pagnarith Pit, Putrasmey Keo, Watey Diep, Yu-Gang Jiang
2025 J jnl
WithAnyone: Towards Controllable and ID Consistent Image Generation.
CoRR
Hengyuan Xu, Wei Cheng, Peng Xing, Yixiao Fang, Shuhan Wu, Rui Wang, Xianfang Zeng, Daxin Jiang, Gang Yu, Xingjun Ma, Yu-Gang Jiang
2025 A* conf
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP.
ICML
Hanxun Huang, Sarah Monazam Erfani, Yige Li, Xingjun Ma, James Bailey
2025 J jnl
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP.
CoRR
Hanxun Huang, Sarah M. Erfani, Yige Li, Xingjun Ma, James Bailey
2024 J jnl
A Survey of Multimodal-Guided Image Editing with Text-to-Image Diffusion Models.
CoRR
Xincheng Shuai, Henghui Ding, Xingjun Ma, Rongcheng Tu, Yu-Gang Jiang, Dacheng Tao
2024 A* conf
AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial Contrastive Prompt Tuning.
ACM Multimedia
Xin Wang, Kai Chen, Xingjun Ma, Zhineng Chen, Jingjing Chen, Yu-Gang Jiang
2024 J jnl
AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial Contrastive Prompt Tuning.
CoRR
Xin Wang, Kai Chen, Xingjun Ma, Zhineng Chen, Jingjing Chen, Yu-Gang Jiang
2024 J jnl
Adversarial Prompt Distillation for Vision-Language Models.
CoRR
Lin Luo, Xin Wang, Bojia Zi, Shihao Zhao, Xingjun Ma
2024 — conf
Adversarial Prompt Tuning for Vision-Language Models.
ECCV (45)
Jiaming Zhang, Xingjun Ma, Xin Wang, Lingyu Qiu, Jiaqi Wang, Yu-Gang Jiang, Jitao Sang
2024 J jnl
AnyAttack: Towards Large-scale Self-supervised Generation of Targeted Adversarial Examples for Vision-Language Models.
CoRR
Jiaming Zhang, Junhong Ye, Xingjun Ma, Yige Li, Yunfan Yang, Jitao Sang, Dit-Yan Yeung
2024 J jnl
BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks on Large Language Models.
CoRR
Yige Li, Hanxun Huang, Yunhan Zhao, Xingjun Ma, Jun Sun
2024 J jnl
BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks.
CoRR
Yunhan Zhao, Xiang Zheng, Lin Luo, Yige Li, Xingjun Ma, Yu-Gang Jiang
2024 J jnl
CHASE: A Causal Heterogeneous Graph based Framework for Root Cause Analysis in Multimodal Microservice Systems.
CoRR
Ziming Zhao, Tiehua Zhang, Zhishu Shen, Hai Dong, Xingjun Ma, Xianhui Liu, Yun Yang
2024 A* conf
Constrained Intrinsic Motivation for Reinforcement Learning.
IJCAI
Xiang Zheng, Xingjun Ma, Chao Shen, Cong Wang
2024 J jnl
Constrained Intrinsic Motivation for Reinforcement Learning.
CoRR
Xiang Zheng, Xingjun Ma, Chao Shen, Cong Wang
2024 J jnl
DiffPatch: Generating Customizable Adversarial Patches using Diffusion Model.
CoRR
Zhixiang Wang, Guangnan Ye, Xiaosen Wang, Siheng Chen, Zhibo Wang, Xingjun Ma, Yu-Gang Jiang
2024 J jnl
Downstream Transfer Attack: Adversarial Attacks on Downstream Models with Pre-trained Vision Transformers.
CoRR
Weijie Zheng, Xingjun Ma, Hanxun Huang, Zuxuan Wu, Yu-Gang Jiang
2024 J jnl
EnJa: Ensemble Jailbreak on Large Language Models.
CoRR
Jiahao Zhang, Zilong Wang, Ruofan Wang, Xingjun Ma, Yu-Gang Jiang
2024 J jnl
End-to-End Anti-Backdoor Learning on Images and Time Series.
CoRR
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, Yige Li, James Bailey
2024 J jnl
Expose Before You Defend: Unifying and Enhancing Backdoor Defenses via Exposed Models.
CoRR
Yige Li, Hanxun Huang, Jiaming Zhang, Xingjun Ma, Yu-Gang Jiang
2024 — conf
Fake Alignment: Are LLMs Really Aligned Well?
NAACL-HLT
Yixu Wang, Yan Teng, Kexin Huang, Chengqi Lyu, Songyang Zhang, Wenwei Zhang, Xingjun Ma, Yu-Gang Jiang, Yu Qiao, Yingchun Wang
2024 J jnl
FedCAda: Adaptive Client-Side Optimization for Accelerated and Stable Federated Learning.
CoRR
Liuzhi Zhou, Yu He, Kun Zhai, Xiang Liu, Sen Liu, Xingjun Ma, Guangnan Ye, Yu-Gang Jiang, Hongfeng Chai
2024 A* conf
Fuse Your Latents: Video Editing with Multi-source Latent Diffusion Models.
ACM Multimedia
Tianyi Lu, Xing Zhang, Jiaxi Gu, Renjing Pei, Songcen Xu, Xingjun Ma, Hang Xu, Zuxuan Wu
2024 J jnl
Hufu: A Modality-Agnositc Watermarking System for Pre-Trained Transformers via Permutation Equivariance.
CoRR
Hengyuan Xu, Liyao Xiang, Xingjun Ma, Borui Yang, Baochun Li
2024 J jnl
IDEATOR: Jailbreaking Large Vision-Language Models Using Themselves.
CoRR
Ruofan Wang, Bo Wang, Xiaosen Wang, Xingjun Ma, Yu-Gang Jiang
2024 J jnl
Imbalanced gradients: a subtle cause of overestimated adversarial robustness.
Mach. Learn.
Xingjun Ma, Linxi Jiang, Hanxun Huang, Zejia Weng, James Bailey, Yu-Gang Jiang
2024 A* conf
LDReg: Local Dimensionality Regularized Self-Supervised Learning.
ICLR
Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani, Xingjun Ma, Michael E. Houle, James Bailey
2024 J jnl
LDReg: Local Dimensionality Regularized Self-Supervised Learning.
CoRR
Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani, Xingjun Ma, Michael E. Houle, James Bailey
2024 A* conf
ModelLock: Locking Your Model With a Spell.
ACM Multimedia
Yifeng Gao, Yuhua Sun, Xingjun Ma, Zuxuan Wu, Yu-Gang Jiang
2024 J jnl
ModelLock: Locking Your Model With a Spell.
CoRR
Yifeng Gao, Yuhua Sun, Xingjun Ma, Zuxuan Wu, Yu-Gang Jiang
2024 J jnl
Multi-Trigger Backdoor Attacks: More Triggers, More Threats.
CoRR
Yige Li, Xingjun Ma, Jiabo He, Hanxun Huang, Yu-Gang Jiang
2024 J jnl
On the Adversarial Transferability of Generalized "Skip Connections".
CoRR
Yisen Wang, Yichuan Mo, Dongxian Wu, Mingjie Li, Xingjun Ma, Zhouchen Lin
2024 J jnl
Privacy and Robustness in Federated Learning: Attacks and Defenses.
IEEE Trans. Neural Networks Learn. Syst.
Lingjuan Lyu, Han Yu, Xingjun Ma, Chen Chen, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu
2024 J jnl
Special Characters Attack: Toward Scalable Training Data Extraction From Large Language Models.
CoRR
Yang Bai, Ge Pei, Jindong Gu, Yong Yang, Xingjun Ma
2024 J jnl
TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models.
CoRR
Xin Wang, Kai Chen, Jiaming Zhang, Jingjing Chen, Xingjun Ma
2024 J jnl
The Dog Walking Theory: Rethinking Convergence in Federated Learning.
CoRR
Kun Zhai, Yifeng Gao, Xingjun Ma, Difan Zou, Guangnan Ye, Yu-Gang Jiang
2024 J jnl
The Double-Edged Sword of Input Perturbations to Robust Accurate Fairness.
CoRR
Xuran Li, Peng Wu, Yanting Chen, Xingjun Ma, Zhen Zhang, Kaixiang Dong
2024 A conf
Toward Evaluating Robustness of Reinforcement Learning with Adversarial Policy.
DSN
Xiang Zheng, Xingjun Ma, Shengjie Wang, Xinyu Wang, Chao Shen, Cong Wang
2024 J jnl
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks.
CoRR
Yong Xie, Weijie Zheng, Hanxun Huang, Guangnan Ye, Xingjun Ma
2024 J jnl
Towards a Theoretical Understanding of Memorization in Diffusion Models.
CoRR
Yunhao Chen, Xingjun Ma, Difan Zou, Yu-Gang Jiang
2024 A conf
Training Sparse Graph Neural Networks via Pruning and Sprouting.
SDM
Xueqi Ma, Xingjun Ma, Sarah M. Erfani, James Bailey
2024 A* conf
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation.
NeurIPS
Ye Sun, Hao Zhang, Tiehua Zhang, Xingjun Ma, Yu-Gang Jiang
2024 J jnl
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation.
CoRR
Ye Sun, Hao Zhang, Tiehua Zhang, Xingjun Ma, Yu-Gang Jiang
2024 J jnl
Unlearnable Examples For Time Series.
CoRR
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
2024 — conf
Unlearnable Examples for Time Series.
PAKDD (6)
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
2024 J jnl
VeriFi: Towards Verifiable Federated Unlearning.
IEEE Trans. Dependable Secur. Comput.
Xiangshan Gao, Xingjun Ma, Jingyi Wang, Youcheng Sun, Bo Li, Shouling Ji, Peng Cheng, Jiming Chen
2024 A* conf
White-box Multimodal Jailbreaks Against Large Vision-Language Models.
ACM Multimedia
Ruofan Wang, Xingjun Ma, Hanxu Zhou, Chuanjun Ji, Guangnan Ye, Yu-Gang Jiang
2024 J jnl
White-box Multimodal Jailbreaks Against Large Vision-Language Models.
CoRR
Ruofan Wang, Xingjun Ma, Hanxu Zhou, Chuanjun Ji, Guangnan Ye, Yu-Gang Jiang
2024 J jnl
Whose Side Are You On? Investigating the Political Stance of Large Language Models.
CoRR
Pagnarasmey Pit, Xingjun Ma, Mike Conway, Qingyu Chen, James Bailey, Henry Pit, Putrasmey Keo, Watey Diep, Yu-Gang Jiang
2023 J jnl
Adversarial Prompt Tuning for Vision-Language Models.
CoRR
Jiaming Zhang, Xingjun Ma, Xin Wang, Lingyu Qiu, Jiaqi Wang, Yu-Gang Jiang, Jitao Sang
2023 — conf
Backdoor Attacks on Time Series: A Generative Approach.
SaTML
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
2023 — conf
DEEPJUDGE: A Testing Framework for Copyright Protection of Deep Learning Models.
ICSE Companion
Jialuo Chen, Youcheng Sun, Jingyi Wang, Peng Cheng, Xingjun Ma
2023 A* conf
Distilling Cognitive Backdoor Patterns within an Image.
ICLR
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
2023 J jnl
Distilling Cognitive Backdoor Patterns within an Image.
CoRR
Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey
2023 J jnl
Fake Alignment: Are LLMs Really Aligned Well?
CoRR
Yixu Wang, Yan Teng, Kexin Huang, Chengqi Lyu, Songyang Zhang, Wenwei Zhang, Xingjun Ma, Yu-Gang Jiang, Yu Qiao, Yingchun Wang
2023 J jnl
IMAP: Intrinsically Motivated Adversarial Policy.
CoRR
Xiang Zheng, Xingjun Ma, Shengjie Wang, Xinyu Wang, Chao Shen, Cong Wang
2023 J jnl
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs.
CoRR
Tiehua Zhang, Yuze Liu, Zhishu Shen, Xingjun Ma, Xin Chen, Xiaowei Huang, Jun Yin, Jiong Jin
2023 A* conf
On the Importance of Spatial Relations for Few-shot Action Recognition.
ACM Multimedia
Yilun Zhang, Yuqian Fu, Xingjun Ma, Lizhe Qi, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang
2023 J jnl
On the Importance of Spatial Relations for Few-shot Action Recognition.
CoRR
Yilun Zhang, Yuqian Fu, Xingjun Ma, Lizhe Qi, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang
2023 J jnl
Query-Efficient Black-Box Adversarial Attacks on Automatic Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process.
Chuxuan Tong, Xi Zheng, Jianhua Li, Xingjun Ma, Longxiang Gao, Yong Xiang
2023 J jnl
QuoTe: Quality-oriented Testing for Deep Learning Systems.
ACM Trans. Softw. Eng. Methodol.
Jialuo Chen, Jingyi Wang, Xingjun Ma, Youcheng Sun, Jun Sun, Peixin Zhang, Peng Cheng
2023 A* conf
Reconstructive Neuron Pruning for Backdoor Defense.
ICML
Yige Li, Xixiang Lyu, Xingjun Ma, Nodens Koren, Lingjuan Lyu, Bo Li, Yu-Gang Jiang
2023 J jnl
Reconstructive Neuron Pruning for Backdoor Defense.
CoRR
Yige Li, Xixiang Lyu, Xingjun Ma, Nodens Koren, Lingjuan Lyu, Bo Li, Yu-Gang Jiang
2023 J jnl
Relationships between tail entropies and local intrinsic dimensionality and their use for estimation and feature representation.
Inf. Syst.
James Bailey, Michael E. Houle, Xingjun Ma
2023 A* conf
Transferable Unlearnable Examples.
ICLR
Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang
2023 A* conf
Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples.
CVPR
Jiaming Zhang, Xingjun Ma, Qi Yi, Jitao Sang, Yu-Gang Jiang, Yaowei Wang, Changsheng Xu
2023 J jnl
Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples.
CoRR
Jiaming Zhang, Xingjun Ma, Qi Yi, Jitao Sang, Yu-Gang Jiang, Yaowei Wang, Changsheng Xu
2022 A* conf
Backdoor Attacks on Crowd Counting.
ACM Multimedia
Yuhua Sun, Tailai Zhang, Xingjun Ma, Pan Zhou, Jian Lou, Zichuan Xu, Xing Di, Yu Cheng, Lichao Sun
2022 J jnl
Backdoor Attacks on Crowd Counting.
CoRR
Yuhua Sun, Tailai Zhang, Xingjun Ma, Pan Zhou, Jian Lou, Zichuan Xu, Xing Di, Yu Cheng, Lichao Sun
2022 J jnl
Backdoor Attacks on Time Series: A Generative Approach.
CoRR
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
2022 A* conf
CalFAT: Calibrated Federated Adversarial Training with Label Skewness.
NeurIPS
Chen Chen, Yuchen Liu, Xingjun Ma, Lingjuan Lyu
2022 J jnl
CalFAT: Calibrated Federated Adversarial Training with Label Skewness.
CoRR
Chen Chen, Yuchen Liu, Xingjun Ma, Lingjuan Lyu
2022 A* conf
Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models.
SP
Jialuo Chen, Jingyi Wang, Tinglan Peng, Youcheng Sun, Peng Cheng, Shouling Ji, Xingjun Ma, Bo Li, Dawn Song
2022 — conf
ECG-ATK-GAN: Robustness Against Adversarial Attacks on ECGs Using Conditional Generative Adversarial Networks.
AMAI@MICCAI
Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Xingjun Ma
2022 A* conf
Few-Shot Backdoor Attacks on Visual Object Tracking.
ICLR
Yiming Li, Haoxiang Zhong, Xingjun Ma, Yong Jiang, Shu-Tao Xia
2022 J jnl
Few-Shot Backdoor Attacks on Visual Object Tracking.
CoRR
Yiming Li, Haoxiang Zhong, Xingjun Ma, Yong Jiang, Shu-Tao Xia
2022 — conf
Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models.
EMNLP (Findings)
Zhiyuan Zhang, Lingjuan Lyu, Xingjun Ma, Chenguang Wang, Xu Sun
2022 J jnl
Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models.
CoRR
Zhiyuan Zhang, Lingjuan Lyu, Xingjun Ma, Chenguang Wang, Xu Sun
2022 J jnl
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning.
IEEE Trans. Dependable Secur. Comput.
Lingjuan Lyu, Yitong Li, Karthik Nandakumar, Jiangshan Yu, Xingjun Ma
2022 J jnl
Local Intrinsic Dimensionality, Entropy and Statistical Divergences.
Entropy
James Bailey, Michael E. Houle, Xingjun Ma
2022 J jnl
Transferable Unlearnable Examples.
CoRR
Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang
2022 J jnl
VeriFi: Towards Verifiable Federated Unlearning.
CoRR
Xiangshan Gao, Xingjun Ma, Jingyi Wang, Youcheng Sun, Bo Li, Shouling Ji, Peng Cheng, Jiming Chen
2021 A* conf
$\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression.
NeurIPS
Jiabo He, Sarah M. Erfani, Xingjun Ma, James Bailey, Ying Chi, Xian-Sheng Hua
2021 J jnl
A Lazy Approach for Efficient Index Learning.
CoRR
Guanli Liu, Lars Kulik, Xingjun Ma, Jianzhong Qi
2021 J jnl
Adversarial Interaction Attack: Fooling AI to Misinterpret Human Intentions.
CoRR
Nodens Koren, Qiuhong Ke, Yisen Wang, James Bailey, Xingjun Ma
2021 J jnl
Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression.
CoRR
Jiabo He, Sarah M. Erfani, Xingjun Ma, James Bailey, Ying Chi, Xian-Sheng Hua
2021 B conf
Anomaly Detection for Scenario-based Insider Activities using CGAN Augmented Data.
TrustCom
R. G. Gayathri, Atul Sajjanhar, Yong Xiang, Xingjun Ma
2021 A* conf
Anti-Backdoor Learning: Training Clean Models on Poisoned Data.
NeurIPS
Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma
2021 J jnl
Anti-Backdoor Learning: Training Clean Models on Poisoned Data.
CoRR
Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma
2021 J jnl
Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models.
CoRR
Jialuo Chen, Jingyi Wang, Tinglan Peng, Youcheng Sun, Peng Cheng, Shouling Ji, Xingjun Ma, Bo Li, Dawn Song
2021 B conf
Dual Head Adversarial Training.
IJCNN
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
2021 J jnl
Dual Head Adversarial Training.
CoRR
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
2021 J jnl
ECG-ATK-GAN: Robustness against Adversarial Attacks on ECG using Conditional Generative Adversarial Networks.
CoRR
Khondker Fariha Hossain, Sharif Amit Kamran, Xingjun Ma, Alireza Tavakkoli
2021 C conf
ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks.
ICMLA
Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Lei Pan, Xingjun Ma, Sutharshan Rajasegarar, Chandan Karmaker
2021 A* conf
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks.
NeurIPS
Hanxun Huang, Yisen Wang, Sarah M. Erfani, Quanquan Gu, James Bailey, Xingjun Ma
2021 J jnl
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks.
CoRR
Hanxun Huang, Yisen Wang, Sarah Monazam Erfani, Quanquan Gu, James Bailey, Xingjun Ma
2021 Misc conf
Exploring the Vulnerability of Natural Language Processing Models via Universal Adversarial Texts.
ALTA
Xinzhe Li, Ming Liu, Xingjun Ma, Longxiang Gao
2021 B conf
Federated Learning with Extreme Label Skew: A Data Extension Approach.
IJCNN
Saheed A. Tijani, Xingjun Ma, Ran Zhang, Frank Jiang, Robin Doss
2021 A* conf
Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning.
NeurIPS
Xinyi Xu, Lingjuan Lyu, Xingjun Ma, Chenglin Miao, Chuan Sheng Foo, Bryan Kian Hsiang Low
2021 A* conf
Improving Adversarial Robustness via Channel-wise Activation Suppressing.
ICLR
Yang Bai, Yuyuan Zeng, Yong Jiang, Shu-Tao Xia, Xingjun Ma, Yisen Wang
2021 J jnl
Improving Adversarial Robustness via Channel-wise Activation Suppressing.
CoRR
Yang Bai, Yuyuan Zeng, Yong Jiang, Shu-Tao Xia, Xingjun Ma, Yisen Wang
2021 B conf
Microwave Link Failures Prediction via LSTM-based Feature Fusion Network.
IJCNN
Zichan Ruan, Shuiqiao Yang, Lei Pan, Xingjun Ma, Wei Luo, Marthie Grobler
2021 J jnl
Multi-class Classification Based Anomaly Detection of Insider Activities.
CoRR
R. G. Gayathri, Atul Sajjanhar, Yong Xiang, Xingjun Ma
2021 B conf
Neural Architecture Search via Combinatorial Multi-Armed Bandit.
IJCNN
Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey
2021 J jnl
Neural Architecture Search via Combinatorial Multi-Armed Bandit.
CoRR
Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey
2021 A* conf
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks.
ICLR
Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma
2021 J jnl
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks.
CoRR
Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma
2021 A* conf
Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting.
IJCAI
Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang
2021 J jnl
Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting.
CoRR
Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang
2021 J jnl
On the Convergence and Robustness of Adversarial Training.
CoRR
Yisen Wang, Xingjun Ma, James Bailey, Jinfeng Yi, Bowen Zhou, Quanquan Gu
2021 B conf
Relationships Between Local Intrinsic Dimensionality and Tail Entropy.
SISAP
James Bailey, Michael E. Houle, Xingjun Ma
2021 A* conf
Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better.
ICCV
Bojia Zi, Shihao Zhao, Xingjun Ma, Yu-Gang Jiang
2021 J jnl
Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better.
CoRR
Bojia Zi, Shihao Zhao, Xingjun Ma, Yu-Gang Jiang
2021 A* conf
RobOT: Robustness-Oriented Testing for Deep Learning Systems.
ICSE
Jingyi Wang, Jialuo Chen, Youcheng Sun, Xingjun Ma, Dongxia Wang, Jun Sun, Peng Cheng
2021 J jnl
RobOT: Robustness-Oriented Testing for Deep Learning Systems.
CoRR
Jingyi Wang, Jialuo Chen, Youcheng Sun, Xingjun Ma, Dongxia Wang, Jun Sun, Peng Cheng
2021 — conf
SpineOne: A One-Stage Detection Framework for Degenerative Discs and Vertebrae.
BIBM
Jiabo He, Wei Liu, Yu Wang, Xingjun Ma, Xian-Sheng Hua
2021 J jnl
SpineOne: A One-Stage Detection Framework for Degenerative Discs and Vertebrae.
CoRR
Jiabo He, Wei Liu, Yu Wang, Xingjun Ma, Xian-Sheng Hua
2021 B conf
Sub-trajectory Similarity Join with Obfuscation.
SSDBM
Yanchuan Chang, Jianzhong Qi, Egemen Tanin, Xingjun Ma, Hanan Samet
2021 J jnl
Sub-trajectory Similarity Join with Obfuscation.
CoRR
Yanchuan Chang, Jianzhong Qi, Egemen Tanin, Xingjun Ma, Hanan Samet
2021 J jnl
Understanding adversarial attacks on deep learning based medical image analysis systems.
Pattern Recognit.
Xingjun Ma, Yuhao Niu, Lin Gu, Yisen Wang, Yitian Zhao, James Bailey, Feng Lu
2021 A* conf
Unlearnable Examples: Making Personal Data Unexploitable.
ICLR
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang
2021 J jnl
Unlearnable Examples: Making Personal Data Unexploitable.
CoRR
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang
2021 J jnl
What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space.
CoRR
Shihao Zhao, Xingjun Ma, Yisen Wang, James Bailey, Bo Li, Yu-Gang Jiang
2021 J jnl
WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection.
CoRR
Bojia Zi, Minghao Chang, Jingjing Chen, Xingjun Ma, Yu-Gang Jiang
2020 A* conf
Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles.
CVPR
Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. K. Qin, Yun Yang
2020 J jnl
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles.
CoRR
Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. K. Qin, Yun Yang
2020 A* conf
Clean-Label Backdoor Attacks on Video Recognition Models.
CVPR
Shihao Zhao, Xingjun Ma, Xiang Zheng, James Bailey, Jingjing Chen, Yu-Gang Jiang
2020 J jnl
Clean-Label Backdoor Attacks on Video Recognition Models.
CoRR
Shihao Zhao, Xingjun Ma, Xiang Zheng, James Bailey, Jingjing Chen, Yu-Gang Jiang
2020 J jnl
Exploiting patterns to explain individual predictions.
Knowl. Inf. Syst.
Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, Xingjun Ma
2020 J jnl
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning.
CoRR
Lingjuan Lyu, Yitong Li, Karthik Nandakumar, Jiangshan Yu, Xingjun Ma
2020 J jnl
Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness.
CoRR
Linxi Jiang, Xingjun Ma, Zejia Weng, James Bailey, Yu-Gang Jiang
2020 A* conf
Improving Adversarial Robustness Requires Revisiting Misclassified Examples.
ICLR
Yisen Wang, Difan Zou, Jinfeng Yi, James Bailey, Xingjun Ma, Quanquan Gu
2020 A* conf
Normalized Loss Functions for Deep Learning with Noisy Labels.
ICML
Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah M. Erfani, James Bailey
2020 J jnl
Normalized Loss Functions for Deep Learning with Noisy Labels.
CoRR
Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah M. Erfani, James Bailey
2020 J jnl
Privacy and Robustness in Federated Learning: Attacks and Defenses.
CoRR
Lingjuan Lyu, Han Yu, Xingjun Ma, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu
2020 — conf
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks.
ECCV (10)
Yunfei Liu, Xingjun Ma, James Bailey, Feng Lu
2020 J jnl
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks.
CoRR
Yunfei Liu, Xingjun Ma, James Bailey, Feng Lu
2020 — conf
Short-Term and Long-Term Context Aggregation Network for Video Inpainting.
ECCV (4)
Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri
2020 J jnl
Short-Term and Long-Term Context Aggregation Network for Video Inpainting.
CoRR
Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri
2020 A* conf
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets.
ICLR
Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma
2020 J jnl
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets.
CoRR
Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma
2020 J jnl
Towards Fair and Privacy-Preserving Federated Deep Models.
IEEE Trans. Parallel Distributed Syst.
Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin, Han Yu, Kee Siong Ng
2020 — conf
Transfer of Automated Performance Feedback Models to Different Specimens in Virtual Reality Temporal Bone Surgery.
AIED (1)
Jesslyn Lamtara, Nathan Hanegbi, Benjamin Talks, Sudanthi N. R. Wijewickrema, Xingjun Ma, Patorn Piromchai, James Bailey, Stephen J. O'Leary
2020 A* conf
WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection.
ACM Multimedia
Bojia Zi, Minghao Chang, Jingjing Chen, Xingjun Ma, Yu-Gang Jiang
2019 A* conf
Black-box Adversarial Attacks on Video Recognition Models.
ACM Multimedia
Linxi Jiang, Xingjun Ma, Shaoxiang Chen, James Bailey, Yu-Gang Jiang
2019 J jnl
Black-box Adversarial Attacks on Video Recognition Models.
CoRR
Linxi Jiang, Xingjun Ma, Shaoxiang Chen, James Bailey, Yu-Gang Jiang
2019 A* conf
Generative Image Inpainting with Submanifold Alignment.
IJCAI
Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Kotagiri Ramamohanarao
2019 J jnl
Generative Image Inpainting with Submanifold Alignment.
CoRR
Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Kotagiri Ramamohanarao
2019 A* conf
On the Convergence and Robustness of Adversarial Training.
ICML
Yisen Wang, Xingjun Ma, James Bailey, Jinfeng Yi, Bowen Zhou, Quanquan Gu
2019 J jnl
Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality.
CoRR
Sukarna Barua, Xingjun Ma, Sarah Monazam Erfani, Michael E. Houle, James Bailey
2019 A* conf
Symmetric Cross Entropy for Robust Learning With Noisy Labels.
ICCV
Yisen Wang, Xingjun Ma, Zaiyi Chen, Yuan Luo, Jinfeng Yi, James Bailey
2019 J jnl
Symmetric Cross Entropy for Robust Learning with Noisy Labels.
CoRR
Yisen Wang, Xingjun Ma, Zaiyi Chen, Yuan Luo, Jinfeng Yi, James Bailey
2019 J jnl
Towards Fair and Decentralized Privacy-Preserving Deep Learning with Blockchain.
CoRR
Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin
2019 J jnl
Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems.
CoRR
Xingjun Ma, Yuhao Niu, Lin Gu, Yisen Wang, Yitian Zhao, James Bailey, Feng Lu
2018 — conf
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality.
ICLR
Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E. Houle, James Bailey
2018 J jnl
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality.
CoRR
Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Michael E. Houle, Grant Schoenebeck, Dawn Song, James Bailey
2018 B conf
Development and Validation of a Virtual Reality Tutor to Teach Clinically Oriented Surgical Anatomy of the Ear.
CBMS
Sudanthi N. R. Wijewickrema, Bridget Copson, Xingjun Ma, Robert Briggs, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary
2018 A* conf
Dimensionality-Driven Learning with Noisy Labels.
ICML
Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi N. R. Wijewickrema, James Bailey
2018 J jnl
Dimensionality-Driven Learning with Noisy Labels.
CoRR
Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi N. R. Wijewickrema, James Bailey
2018 A* conf
Iterative Learning With Open-Set Noisy Labels.
CVPR
Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia
2018 J jnl
Iterative Learning with Open-set Noisy Labels.
CoRR
Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia
2018 — —
Machine learning with adversarial perturbations and noisy labels.
Xingjun Ma
2018 — conf
Providing Automated Real-Time Technical Feedback for Virtual Reality Based Surgical Training: Is the Simpler the Better?
AIED (1)
Sudanthi N. R. Wijewickrema, Xingjun Ma, Patorn Piromchai, Robert Briggs, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary
2017 A* conf
Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training.
IJCAI
Xingjun Ma, Sudanthi N. R. Wijewickrema, Shuo Zhou, Yun Zhou, Zakaria Mhammedi, Stephen J. O'Leary, James Bailey
2017 B conf
Design and Evaluation of a Virtual Reality Simulation Module for Training Advanced Temporal Bone Surgery.
CBMS
Sudanthi N. R. Wijewickrema, Bridget Copson, Yun Zhou, Xingjun Ma, Robert Briggs, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary
2017 J jnl
Extracting Real-time Feedback with Neural Networks for Simulation-based Learning.
CoRR
Xingjun Ma, James Bailey, Sudanthi N. R. Wijewickrema, Shuo Zhou, Zakaria Mhammedi, Yun Zhou, Stephen J. O'Leary
2017 J jnl
Feedback Techniques in Computer-Based Simulation Training: A Survey.
CoRR
Sudanthi N. R. Wijewickrema, Xingjun Ma, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary
2017 J jnl
Finding Influentials in Twitter: A Temporal Influence Ranking Model.
CoRR
Xingjun Ma, Chunping Li, James Bailey, Sudanthi N. R. Wijewickrema
2017 — conf
Providing Effective Real-Time Feedback in Simulation-Based Surgical Training.
MICCAI (2)
Xingjun Ma, Sudanthi N. R. Wijewickrema, Yun Zhou, Shuo Zhou, Stephen J. O'Leary, James Bailey
2017 J jnl
Providing Effective Real-time Feedback in Simulation-based Surgical Training.
CoRR
Xingjun Ma, Sudanthi N. R. Wijewickrema, Yun Zhou, Shuo Zhou, Stephen J. O'Leary, James Bailey
2017 B conf
Simulation for Training Cochlear Implant Electrode Insertion.
CBMS
Xingjun Ma, Sudanthi N. R. Wijewickrema, Yun Zhou, Bridget Copson, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary
2017 A* conf
Unbiased Multivariate Correlation Analysis.
AAAI
Yisen Wang, Simone Romano, Vinh Nguyen, James Bailey, Xingjun Ma, Shu-Tao Xia