Peichun Hua | CUHK-Shenzhen

About Me

I completed my bachelor in Computer Science at the School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen). I was an exchange tar heel at the University of North Carolina at Chapel Hill in Year 2024-25.

My research interests span adversarial machine learning, privacy computing, and hardware security. Recently I am very interested in threats and defense problems in agentic AI, information retrieval, and emerging paradigms of RAG.

I am fortunate to work with Prof. Yue Zheng and Prof. Yunming Xiao at CUHK-Shenzhen. In the summer of 2025, I was a research intern at Washington University in St. Louis, advised by Prof. Ning Zhang.

Publications

Unlocking Software-defined GPU Fabric Scheduling in the LLM Era

Danyang Chen, Yufeng Gu, Yibo Huang, Chengxuan Pei, Peichun Hua, Yang Zhou, Yunming Xiao

ACM SIGOPS Asia-Pacific Workshop on Systems (APSys), 2026. APSys

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Accepted.

@inproceedings{chen2026unlocking, title={Unlocking Software-defined GPU Fabric Scheduling in the LLM Era}, author={Danyang Chen and Yufeng Gu and Yibo Huang and Chengxuan Pei and Peichun Hua and Yang Zhou and Yunming Xiao}, booktitle={ACM SIGOPS Asia-Pacific Workshop on Systems (APSys)}, year={2026}, organization={ACM} }

Behavioral Skill Reconstruction: Reconstructing Hidden Functionality from LLM Agent Skills

Peichun Hua, Haoxuan Xu, Mengyuan Li

arXiv preprint 2026 arXiv

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@misc{hua2026skillclone, title={Behavioral Skill Reconstruction: Reconstructing Hidden Functionality from LLM Agent Skills}, author={Peichun Hua and Haoxuan Xu and Mengyuan Li}, year={2026}, eprint={2608.04192}, archivePrefix={arXiv}, primaryClass={cs.CR}, url={https://arxiv.org/abs/2608.04192}, }

A Unified Open-Set Framework for Scalable PUF-Based Authentication of Heterogeneous IoT Devices

Xin Wang, Peichun Hua, Chip Hong Chang, Wenye Liu, Yue Zheng

IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2026. SMC

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Accepted.

@inproceedings{wang2026openpuf, title={A Unified Open-Set Framework for Scalable PUF-Based Authentication of Heterogeneous IoT Devices}, author={Xin Wang and Peichun Hua and Chip Hong Chang and Wenye Liu and Yue Zheng}, booktitle={IEEE International Conference on Systems, Man, and Cybernetics (SMC)}, year={2026}, organization={IEEE} }

Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive Scoring

Peichun Hua, Hao Li, Shanghao Shi, Zhiyuan Yu, and Ning Zhang

The 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026. ACL

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Accepted as Oral Presentation of Main Conference (Top 20% of Accepted Papers). Acceptance Rate: around 2300/12148 ≈ 19%.

@inproceedings{hua2026rethinking, title = "Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive Scoring", author = {Hua, Peichun and Li, Hao and Shi, Shanghao and Yu, Zhiyuan and Zhang, Ning}, editor = {Liakata, Maria and Moreira, Viviane P. and Zhang, Jiajun and Jurgens, David}, booktitle = "Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 1: Long Papers)", month = jul, year = "2026", address = "San Diego, California, United States", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2026.acl-long.992/", pages = "21748--21785", ISBN = "979-8-89176-390-6", }

Live Demonstration: Hardware-Bound IP Protection for OWL-ViT on Edge Devices

Peichun Hua, Hanxiu Zhang, Tuo Li, Yue Zheng, and Wenye Liu

IEEE International Symposium on Circuits and Systems (ISCAS), 2026. ISCAS

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Accepted for Live Presentation.

@inproceedings{hua2026live, title={Live Demonstration: Hardware-Bound IP Protection for OWL-ViT on Edge Devices}, author={Hua, Peichun and Zhang, Hanxiu and Li, Tuo and Zheng, Yue and Liu, Wenye}, booktitle={IEEE International Symposium on Circuits and Systems (ISCAS)}, year={2026}, pages={10-10}, doi={10.1109/ISCAS66217.2026.11562768}, organization={IEEE} }

Securing On-device Transformer with Hardware Binding and Reversible Obfuscation

Peichun Hua, Hanxiu Zhang, Tuo Li, and Yue Zheng

The 41st Annual Computer Security Applications Conference (ACSAC), 2025. ACSAC

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Acceptance Rate: 84/446 ≈ 18.8%. Artifact Available, Artifact Reviewed, Artifact Reproducible (IEEE Badges, 34/84 among accepted papers).

@inproceedings{hua2025securing, title={Securing On-device Transformer with Hardware Binding and Reversible Obfuscation}, author={Hua, Peichun and Zhang, Hanxiu and Li, Tuo and Zheng, Yue}, pages={956-972}, booktitle={2025 IEEE Annual Computer Security Applications Conference (ACSAC)}, year={2025}, organization={IEEE}, keywords={Deep learning;Computational modeling;Intellectual property;Transformers;Physical unclonable function;Hardware;Software;Data models;Protection;Software development management;Intellectual Property;Transformer;Model Stealing Attacks;Physical Unclonable Functions}, doi={10.1109/ACSAC67867.2025.00079}, }

Services

2025

Reviewer, IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP)

2026

Awards

Academic Honors

Dean's List, School of Data Science, CUHK-Shenzhen — 2022–2023, 2023–2024
Academic Performance Scholarship (Class B, Top <2%), School of Data Science — 2023–2024
Academic Performance Scholarship (Class C, Top <5%), School of Data Science — 2022–2023
University Research Award (with scholarship) — 2024 Fall, 2025 Spring

Research Awards

Student Conferenceship, 41st Annual Computer Security Applications Conference (ACSAC 2025) — Dec. 2025
Artifact Available, Artifact Reviewed, and Artifact Reproducible Badges — IEEE — for paper 'Securing On-device Transformer with Hardware Binding and Reversible Obfuscation' at ACSAC 2025
Fully Funded International Research Internship — McKelvey School of Engineering, Washington University in St. Louis — Summer 2025