Jiaming Zhang (张家明) is currently a Postdoctoral Research Fellow at Nanyang Technological University (NTU), working with Prof. Wei Yang Bryan Lim. Prior to this, I was a postdoc at Hong Kong University of Science and Technology (HKUST), working with Prof. Dit-Yan Yeung. I received my Ph.D. from Beijing Jiaotong University (BJTU) under the supervision of Prof. Jitao Sang.

My research focuses on Trustworthy AI, with particular interests in adversarial robustness and privacy-preserving machine learning. Recently, I have been exploring these topics in the context of Multimodal Large Language Models (MLLMs).

🔥 News

• 2026.05: Four papers are accepted by ICML 2026.
• 2026.04: One paper is accepted by ACL Findings 2026.
• 2026.01: One paper is accepted by ICLR 2026.
• 2026.01: One paper is accepted by TPAMI 2026.
• 2025.11: I gave an invited talk on “Security and Privacy on Modern MLLMs” at Institute of Science Tokyo, Japan.
• 2025.09: Our survey paper “Safety at Scale” is published in Foundations and Trends® in Privacy and Security.
• 2025.08: One paper is accepted by TIFS 2025.
• 2025.06: I joined NTU as a Research Fellow.
• 2025.03: One paper is accepted by ACL 2025 Findings.
• 2025.02: Two papers are accepted by CVPR 2025.

📝 Selected Publications

* corresponding author

XDomainBench: Diagnosing Reasoning Collapse in High-Dimensional Scientific Knowledge Composition
Gong Zhiren, Tiantong Wu, Jiaming Zhang*, Fuyao Zhang, Che Wang, Yurong Hao, Yikun Hou, Foo Ping, Yilei Zhao, Fei Huang, Chau Yuen, Wei Yang Bryan Lim*
ICML 2026   [Paper]

SubspacePath Pruner: Inference-time Pruning via Probe-based Representation–Parameter Coupling
Gong Zhiren, Yikun Hou, Fan Wu, Che Wang, Fuyao Zhang, Tiantong Wu, Yurong Hao, Jiaming Zhang*, Yiyang Duan, Tiantong Wang, Fei Huang, Chau Yuen, Wei Yang Bryan Lim*
ICML 2026

MultiPriv: Benchmarking Individual-Level Privacy Reasoning in Vision-Language Models
Xiongtao Sun, Hui Li*, Jiaming Zhang*, Yujie Yang, Kaili Liu, Ruxin Feng, Wen Jun Tan, Wei Yang Bryan Lim
ICML 2026   [Paper]

Disrupting Hierarchical Reasoning: Adversarial Protection for Geographic Privacy in Multimodal Reasoning Models
Jiaming Zhang, Che Wang, Yang Cao, Longtao Huang, Wei Yang Bryan Lim
ICLR 2026   [Paper]   [Project Page]   [Code]

NAP-Tuning: Neural Augmented Prompt Tuning for Adversarially Robust Vision-Language Models
Jiaming Zhang, Xin Wang, Xingjun Ma, Lingyu Qiu, Yu-Gang Jiang, Jitao Sang
TPAMI 2026   [Paper]   [Code]

Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models
Jiaming Zhang, Junhong Ye, Xingjun Ma, Yige Li, Yunfan Yang, Yunhao Chen, Jitao Sang, Dit-Yan Yeung
CVPR 2025   [Paper]   [Code]   [Project Page]

MF-CLIP: Leveraging CLIP as Surrogate Models for No-box Adversarial Attacks
Jiaming Zhang, Lingyu Qiu, Qi Yi, Yige Li, Jitao Sang, Changsheng Xu, Dit-Yan Yeung
TIFS 2025   [Paper]   [Code]

Adversarial Prompt Tuning for Vision-Language Models
Jiaming Zhang, Xingjun Ma, Xin Wang, Lingyu Qiu, Jiaqi Wang, Yu-Gang Jiang, Jitao Sang
ECCV 2024   [Paper]   [Code]

Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples
Jiaming Zhang, Xingjun Ma, Qi Yi, Jitao Sang, Yu-Gang Jiang, Yaowei Wang, Changsheng Xu
CVPR 2023   [Paper]   [Code]

ImageNet Pre-training also Transfers Non-robustness
Jiaming Zhang, Jitao Sang, Qi Yi, Yunfan Yang, Huiwen Dong, Jian Yu
AAAI 2023   [Paper]   [Code]

Low-mid Adversarial Perturbation against Unauthorized Face Recognition System
Jiaming Zhang, Qi Yi, Dongyuan Lu, Jitao Sang
Information Sciences 2023   [Paper]

Towards Adversarial Attack on Vision-Language Pre-training Models
Jiaming Zhang, Qi Yi, Jitao Sang
ACM MM 2022   [Paper]   [Code]

Robust CAPTCHAs towards malicious OCR
Jiaming Zhang, Jitao Sang, Kaiyuan Xu, Shangxi Wu, Xian Zhao, Yanfeng Sun, Yongli Hu, Jian Yu
TMM 2021   [Paper]

Adversarial privacy-preserving filter
Jiaming Zhang, Jitao Sang, Xian Zhao, Xiaowen Huang, Yanfeng Sun, Yongli Hu
ACM MM 2020   [Paper]   [Code]

VENOMREC: Cross-Modal Interactive Poisoning for Targeted Promotion in Multimodal LLM Recommender Systems
Guowei Guan, Yurong Hao, Jiaming Zhang, Tiantong Wu, Fuyao Zhang, Tianxiang Chen, Longtao Huang, Cyril Leung, Wei Yang Bryan Lim
ICML 2026   [Paper]

GUITester: Enabling GUI Agents for Exploratory Defect Discovery
Yifei Gao, Jiang Wu, Xiaoyi Chen, Yifan Yang, Zhe Cui, Tianyi Ma, Jiaming Zhang, Jitao Sang
ACL Findings 2026

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety
Xingjun Ma, Yifeng Gao, Yixu Wang, … Jiaming Zhang, …, Yu-Gang Jiang
Foundations and Trends® in Privacy and Security 2025   [Paper]   [ArXiv]

TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models
Xin Wang, Kai Chen, Jiaming Zhang, Jingjing Chen, Xingjun Ma
CVPR 2025   [Paper]

Investigating and Enhancing Vision-Audio Capability in Omnimodal Large Language Models
Rui Hu, Delai Qiu, Shuyu Wei, Jiaming Zhang, Yining Wang, Shengping Liu, Jitao Sang
ACL Findings 2025   [Paper]

Benign adversarial attack: Tricking algorithm for goodness
Jitao Sang, Xian Zhao, Jiaming Zhang, Zhiyu Lin
ACM MM 2022   [Paper]

🥇 Honors and Awards

• 2024: ACM China Doctoral Dissertation Award Nominee (Top 5 in China)
• 2024: SIGMM China Doctoral Dissertation Award
• 2023: Zhixing Award (校长奖学金) Nominee
• 2022: China PhD National Scholarship (博士研究生国家奖学金)
• 2022: Rank #1 (1/178) in AISC 2022 Facial Recognition Security Track

💬 Invited Talks

• Nov 2025: Security and Privacy on Modern MLLMs, Institute of Science Tokyo, Tokyo, Japan.
• Apr 2025: Trustworthy AI - Adversarial Attacks & Robustness, Nanyang Technological University, Singapore.
• Oct 2021: Trustworthy Multimedia Analysis, ACM MM 2021 Tutorial, Chengdu, China.

🌟 Academic Services

• Journal Reviewer: TPAMI, TIP, TMLR, TCSVT, TIST
• Conference PC Member: NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, ACM MM, AAAI, IJCAI