Jiahuan Long

Assistant Professor (Hundred Talents Program), Ph.D. Supervisor

Email:
jiahuanlong(at)szu.edu.cn
Affiliation:
School of Artificial Intelligence, Shenzhen University
Office:
Room 822, Huiyan Building, Yuehai Campus
Research:
Adversarial machine learning, Embodied AI security, VLLM security

I am an Assistant Professor (Hundred Talents Program) at Shenzhen University. Before joining Shenzhen University, I completed my Ph.D. from Shanghai Jiao Tong University in 2026, supervised by Prof. Xiaoqian Chen and Prof. Chao Ma. During 2022 to 2026, I was a joint-training PhD student at the Academy of Military Sciences, supervised by Prof. Wen Yao and Prof. Tingsong Jiang. Before that, I received my master's degrees from the University of Electronic Science and Technology of China (UESTC) and the University of Edinburgh in 2020 and 2021, respectively. At UESTC, I was supervised by Prof. Ke Zhang and Prof. Xiaofen Wang. My research interests include adversarial machine learning, embodied AI security, and multimodal large language model security.

I am recruiting Ph.D. and master's students to work on AI security for Fall 2027. Undergraduate students interested in gaining research experience are also welcome to join our group. Feel free to contact me!


News


Selected Papers

  1. Thermally Activated Dual-Modal Adversarial Clothing against AI Surveillance Systems

    Jiahuan Long, Tingsong Jiang, Hanqing Liu, Chao Ma, Weien Zhou, Yang Yang, and Wen Yao

    CVPR 2026 (Highlight, CCF A)

    Overview of thermally activated dual-modal adversarial clothing
  2. CDUPatch: Color-Driven Universal Adversarial Patch Attack for Dual-Modal Visible-Infrared Detectors

    Jiahuan Long, Wen Yao, Tingsong Jiang, Jiacheng Hou, Shuai Jia, Junqi Wu, Xiaoya Zhang, Xiaohu Zheng, and Chao Ma

    ACM MM 2025 (Oral, CCF A)

    CDUPatch RGB-to-infrared adaptation and cross-modal training framework
  3. Robust SAM: On the Adversarial Robustness of Vision Foundation Models

    Jiahuan Long, Zhengqin Xu, Tingsong Jiang, Wen Yao, Shuai Jia, Chao Ma, and Xiaoqian Chen

    AAAI 2025 (CCF A)

    Robust SAM attack and defense framework
  4. PapMOT: Exploring Adversarial Patch Attack against Multiple Object Tracking

    Jiahuan Long, Tingsong Jiang, Wen Yao, Shuai Jia, Weijia Zhang, Weien Zhou, Chao Ma, and Xiaoqian Chen

    ECCV 2024 (CSRankings)

    PapMOT training and attack framework
  5. Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models

    Jiahuan Long, Tingsong Jiang, Wen Yao, Yizhe Xiong, Zhengqin Xu, Shuai Jia, Hanqing Liu, and Chao Ma

    AAAI 2026 (CCF A)

    Parameter-free channel replacement search pipeline
  6. When Surfaces Lie: Exploiting Wrinkle-Induced Attention Shift to Attack Vision-Language Models

    Chengyin Hu, Xuemeng Sun, Jiaju Han, Qike Zhang, Xiang Chen, Xin Wang, Yiwei Wei, and Jiahuan Long

    ACM MM 2026 (CCF A)

    Wrinkle-based structural attack framework
  7. Eva-VLA: Evaluating Vision-Language-Action Models' Robustness Under Real-World Physical Variations

    Hanqing Liu, Shouwei Ruan, Jiahuan Long, Junqi Wu, Jiacheng Hou, Huili Tang, Tingsong Jiang, Weien Zhou, and Wen Yao

    arXiv, 2025

    Overview of the Eva-VLA robustness evaluation framework
  8. AdvTiles: Physical Adversarial Camouflage Clothing against Person Detectors via Learnable Tiles

    Jinlei Wang*, Jiahuan Long*, Mingkai Sun, Yafei Guo, Yuanhao Huang, Ming Wang, Junqi Wu, Jiacheng Hou, Hongbo Chen, Xingxing Wei, Tingsong Jiang, and Wen Yao

    arXiv, 2026

    AdvTiles differentiable camouflage and physical rendering framework

Awards