Scholar
Xunguang Wang
Google Scholar ID: KNdj9HMAAAAJ
The Hong Kong University of Science and Technology
Citations & Impact
Citations
238
H-index
7
i10-index
7
Publications
12
Co-authors
4
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Publications:
- 1. SoK: Evaluating Jailbreak Guardrails for Large Language Models, IEEE Symposium on Security and Privacy (S&P), 2026
- 2. SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner, USENIX Security Symposium (USENIX Security), 2025
- 3. Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval, IEEE Transactions on Information Forensics and Security (TIFS), 2023
- 4. CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval, The Web Conference (WWW), 2023
- 5. Targeted Attack of Deep Hashing via Prototype-Supervised Adversarial Networks, IEEE Transactions on Multimedia (TMM), 2022
- 6. Targeted Attack and Defense for Deep Hashing, ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
- 7. Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
- Preprints:
- 1. STShield: Single-Token Sentinel for Real-Time Jailbreak Detection in Large Language Models, arXiv, 2025
- 2. GuidedBench: Measuring and Mitigating the Evaluation Discrepancies of In-the-wild LLM Jailbreak Methods, arXiv, 2025
- 3. InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models, arXiv, 2023
- Honors:
- - Outstanding Master's Thesis Award by the Chinese Institute of Electronics, 2023
- - HKUST RedBird PhD Scholarship, 2022
- - Outstanding Master's Thesis Award by Harbin Institute of Technology, 2022
- - National Scholarship, 2021
- - National Encouragement Scholarship, 2017
- - National Encouragement Scholarship, 2016
Research Experience
- No specific work experience or research projects mentioned.
Education
- 1. Ph.D. student in the Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, advised by Prof. Shuai Wang.
- 2. M.Eng. from Harbin Institute of Technology (Shenzhen), graduated in January 2022, advised by Prof. Zheng Zhang.
- 3. B.Eng. from China University of Geosciences, Wuhan, graduated in 2019.
Background
- Research interests: AI Safety & Security, LLM Security, Adversarial Machine Learning.
Miscellany
- No personal interests or hobbies mentioned.
