Xiaojun Jia · Nanyang Technological University

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Works54 from public data

TitleCited by

ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
Xiao-Jun Jia, Xingxing Wei, Xiao-Chun Cao, H. Foroosh
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2019
340
LAS-AT: Adversarial Training with Learnable Attack Strategy
Xiao-Jun Jia, Yong Zhang, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2022
196
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Kun Wang, Guibin Zhang, Zhenhong Zhou, Jia-Hao Wu, Miao Yu, Shi-Qian Zhao, Chen-Long Yin, Jin-Hu Fu, +22 more
arXiv · 2025
139
Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples
Xiao-Jun Jia, Xingxing Wei, Xiao-Chun Cao, Xiaoguang Han
ACM International Conference on Multimedia (ACM MM) · 2020
121
Defending against Model Stealing via Verifying Embedded External Features
Yiming Li, Linghui Zhu, Xiao-Jun Jia, Yong Jiang, Shutao Xia, Xiao-Chun Cao
Proceedings of the AAAI Conference on Artificial Intelligence · 2022
97
Boosting Fast Adversarial Training With Learnable Adversarial Initialization
Xiao-Jun Jia, Yong Zhang, Baoyuan Wu, Jue Wang, Xiao-Chun Cao
IEEE Transactions on Image Processing · 2022
79
A Survey on Transferability of Adversarial Examples across Deep Neural Networks
Jindong Gu, Xiao-Jun Jia, Pau de Jorge, Wen-Qian Yu, Xin-Wei Liu, A. Ma, Yuan Xun, Anjun Hu, +4 more
arXiv · 2023
76
Improving Fast Adversarial Training With Prior-Guided Knowledge
Xiao-Jun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2024
69
Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization
Bangyan He, J. Liu, Yiming Li, Siyuan Liang, Jingzhi Li, Xiao-Jun Jia, Xiaochun Cao
Proceedings of the AAAI Conference on Artificial Intelligence · 2023
62
JailGuard : A Universal Detection Framework for Prompt-based Attacks on LLM Systems
Xiao-Yu Zhang, Cen Zhang, Tian-Lin Li, Yi-Hao Huang, Xiao-Jun Jia, Ming Hu, Jie Zhang, Yang Liu, +2 more
ACM Transactions on Software Engineering and Methodology · 2025
58
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds
Tianrui Lou, Xiao-Jun Jia, Jindong Gu, Li Liu, Siyuan Liang, Bangyan He, Xiao-Chun Cao
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2024
54
Efficient Generation of Targeted and Transferable Adversarial Examples for Vision-Language Models via Diffusion Models
Qi Guo, Shanmin Pang, Xiao-Jun Jia, Yang Liu, Qing Guo
IEEE Transactions on Information Forensics and Security · 2024
52
Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection
Jiawei Liang, Siyuan Liang, Ai-Shan Liu, Xiao-Jun Jia, Junhao Kuang, Xiao-Chun Cao
arXiv · 2024
47
SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation
Bangyan He, Xiao-Jun Jia, Siyuan Liang, Tianrui Lou, Yang Liu, Xiao-Chun Cao
arXiv · 2023
47
OT-Attack: Enhancing Adversarial Transferability of Vision-Language Models via Optimal Transport Optimization
Dong-Chen Han, Xiao-Jun Jia, Yang Bai, Jindong Gu, Yang Liu, Xiao-Chun Cao
arXiv · 2023
44
Context-Aware Robust Fine-Tuning
Xiaofeng Mao, Yu-Feng Chen, Xiao-Jun Jia, Rong Zhang, Hui Xue, Zhao Li
International Journal of Computer Vision · 2023
44
Prior-Guided Adversarial Initialization for Fast Adversarial Training
Lecture notes in computer science · 2022
37
Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning
Xin-Wei Liu, Xiao-Jun Jia, Yuan Xun, Siyuan Liang, Xiao-Chun Cao
ACM International Conference on Multimedia (ACM MM) · 2024
35
Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack
Xiao-Jun Jia, Sen-Sen Gao, Qing Guo, Si-Meng Qin, Ke Ma, Yi-Hao Huang, Yang Liu, I. Tsang, +1 more
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2025
27
Boosting Transferability in Vision-Language Attacks via Diversification Along the Intersection Region of Adversarial Trajectory
Lecture notes in computer science · 2024
26
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging
Xiao-Jun Jia, Yue-Feng Chen, Xiaofeng Mao, Ranjie Duan, Jindong Gu, Rong Zhang, H. Xue, Yang Liu, +1 more
IEEE Transactions on Information Forensics and Security · 2024
21
PromptGuard: Soft Prompt-Guided Unsafe Content Moderation for Text-to-Image Models
Lingzhi Yuan, Xin-Feng Li, Chejian Xu, Guan-Hong Tao, Xiao-Jun Jia, Yi-Hao Huang, Wei Dong, Yang Liu, +2 more
IEEE Transactions on Information Forensics and Security · 2026
20
Fast Propagation Is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks
Xiao-Jun Jia, Jianshu Li, Jindong Gu, Yang Bai, Xiaochun Cao
IEEE Transactions on Information Forensics and Security · 2024
20
Universal Watermark Vaccine: Universal Adversarial Perturbations for Watermark Protection
Jianbo Chen, Xin-Wei Liu, Siyuan Liang, Xiao-Jun Jia, Yuan Xun
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2023
20
A Large-Scale Multiple-objective Method for Black-box Attack Against Object Detection
Lecture notes in computer science · 2022
20
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal
Lecture notes in computer science · 2022
20
DAMA: Data- and Model-aware Alignment of Multi-modal LLMs
Jinda Lu, Junkang Wu, Jinghan Li, X. Jia, Shuo Wang, Yifan Zhang, Jun-Feng Fang, Xiang Wang, +1 more
arXiv · 2025
19
LLM Jailbreak Detection for (Almost) Free!
Guorui Chen, Yifan Xia, Xiaojun Jia, Zhijiang Li, Philip Torr, Jindong Gu
Findings of the Association for Computational Linguistics: EMNLP 2025 · 2025
17
The Eye of Sherlock Holmes: Uncovering User Private Attribute Profiling via Vision-Language Model Agentic Framework
Fei-Ran Liu, Yu-Zhe Zhang, Xinyi Huang, Yinan Peng, Xin-Feng Li, Li-Xu Wang, Yutong Shen, Ranjie Duan, +4 more
ACM International Conference on Multimedia (ACM MM) · 2025
15
Texture Re-Scalable Universal Adversarial Perturbation
Yi-Hao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Xiao-Jun Jia, Xiao-Chun Cao, G. Pu, Yang Liu
IEEE Transactions on Information Forensics and Security · 2024
15
Hi-SIGIR: Hierachical Semantic-Guided Image-to-image Retrieval via Scene Graph
Yulu Wang, Peng-Wen Dai, Xiao-Jun Jia, Zhitao Zeng, Rui Li, Xiaochun Cao
ACM International Conference on Multimedia (ACM MM) · 2023
12
TUNI: A Textual Unimodal Detector for Identity Inference in CLIP Models
Songze Li, Ruoxi Cheng, Xiaojun Jia
Proceedings of the Sixth Workshop on Privacy in Natural Language Processing · 2025
11
Does Few-Shot Learning Suffer from Backdoor Attacks?
Proceedings of the AAAI Conference on Artificial Intelligence · 2024
11
Identifying and Resisting Adversarial Videos Using Temporal Consistency
arXiv · 2019
11
Robust Anti-Backdoor Instruction Tuning in LVLMs
Yuan Xun, Si-Yuan Liang, Xiao-Jun Jia, Xin-Wei Liu, Xiao-Chun Cao
arXiv · 2025
10
When Memory Becomes a Vulnerability: Towards Multi-turn Jailbreak Attacks against Text-to-Image Generation Systems
Shi-Qian Zhao, Jia-Yang Liu, Yiming Li, Run-Yi Hu, Xiao-Jun Jia, Wenshu Fan, Xin-Feng Li, Jie Zhang, +3 more
arXiv · 2025
8
Scale-Invariant Adversarial Attack Against Arbitrary-Scale Super-Resolution
Yi-Hao Huang, Xin Luo, Qing Guo, Felix Juefei-Xu, Xiao-Jun Jia, Wei-Kai Miao, G. Pu, Yang Liu
IEEE Transactions on Information Forensics and Security · 2025
8
Optimizing Multispectral Object Detection: A Bag of Tricks and Comprehensive Benchmarks
Chen Zhou, Peng Cheng, Junfeng Fang, Yifan Zhang, Yibo Yan, Xiao-Jun Jia, Yanyan Xu, Kun Wang, +1 more
arXiv · 2024
8
EAT-Face: Emotion-Controllable Audio-Driven Talking Face Generation via Diffusion Model
Hao-Di Wang, Xiao-Jun Jia, Xiao-Chun Cao
International Conference on Automatic Face and Gesture Recognition · 2024
8
Minimalism is King! High-Frequency Energy-Based Screening for Data-Efficient Backdoor Attacks
Yuan Xun, Xiao-Jun Jia, Jindong Gu, Xin-Wei Liu, Qing Guo, Xiao-Chun Cao
IEEE Transactions on Information Forensics and Security · 2024
7
An Effective and Robust Detector for Logo Detection
arXiv · 2021
7
PATFinger: Prompt-Adapted Transferable Fingerprinting against Unauthorized Multimodal Dataset Usage
Wen-Yi Zhang, Ju Jia, Xiao-Jun Jia, Yi-Hao Huang, Xin-Feng Li, Cong Wu, Lina Wang
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 2025
4
On the Multi-modal Vulnerability of Diffusion Models
Di Yang, Yang Bai, Xiao-Jun Jia, Yang Liu, Xiao-Chun Cao, Wenjian Yu
arXiv · 2024
4
Casting a SPELL: Sentence Pairing Exploration for LLM Limitation-Breaking
Yi-Fan Huang, Xiao-Jun Jia, Wen-Bo Guo, Yu-Qiang Sun, Yi-Hao Huang, Chong Wang, Yang Liu
Proceedings of the ACM on software engineering. · 2026
3
CleanerCLIP: Fine-Grained Counterfactual Semantic Augmentation for Backdoor Defense in Contrastive Learning
Yuan Xun, Siyuan Liang, Xiao-Jun Jia, Xin-Wei Liu, Jun Chen, Xiao-Chun Cao
IEEE Transactions on Information Forensics and Security · 2025
3
A Practical Closed-Box Adversarial Attack on Graph-Learning-Based Models for Malware Detection
Kai Tan, D. Zhan, Haining Yu, Hongli Zhang, Bei Zhao, Xiao-Jun Jia
IEEE Transactions on Dependable and Secure Computing · 2026
2
GAMBIT: A Gamified Jailbreak Framework for Multimodal Large Language Models
Xiang Hu, Ya Jiang, Qing Hu, X. Jia
arXiv · 2026
2
HTS-Attack: Heuristic Token Search for Jailbreaking Text-to-Image Models
arXiv · 2024
1
Beyond the Prompt: Jailbreaking Function-Calling LLMs via Simulated Moderation Traces
Junlong Liu, Hao-Bo Wang, Wei-Qi Luo, Xiaojun Jia
arXiv · 2026
–
SMT: Beyond the Prompt: Jailbreaking Function-Calling LLMs via Simulated Moderation Traces
Zenodo (CERN European Organization for Nuclear Research) · 2026
–
Reasoning as an Attack Surface: Adaptive Evolutionary CoT Jailbreaks for LLMs
Jianan Li, Si-Meng Qin, Xiao-Jun Jia, Lionel Z. Wang, Tian-Hang Zheng, Xiao-Shuang Jia, Yang Liu, Xiao-Chun Cao
arXiv · 2026
–
Inverse Reinforcement Learning with Dynamic Reward Scaling for LLM Alignment
arXiv · 2025
–
Sybil-resistant and privacy-preserving authentication based on short-term pseudonym for internet of vehicles
Chunhua Zhang, X. Chang, Xiaojun Jia, Su-Lan Zhang, Xiaolin Wang
Scientific Reports · 2025
–
Exploring Graphic Design and its Interactivity in the Context of Cognitive Psychology
Xiaojun Jia, Yi Mao
Applied Mathematics and Nonlinear Sciences · 2024
–

Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-10. Citation counts may be lower than on Google Scholar, which indexes more sources.

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