Hi! My name is Wenzhe Yi (易文哲), I’m currently a Ph.D. student (2024 Fall 1+4 program) at the School of Cyber Science and Engineering, Wuhan University. Before that, I obtained my Bachelor’s degree from Wuhan University, supervised by Prof. Juan Wang.
Trustworthy machine learning (safety, privacy, and security)
Confidential Computing / Trusted Computing
†: equal contribution; *: corresponding author
Palladium: Guarding Neural Network Training with Confidential Computing
Wenzhe Yi†, Mengda Yang†, Juan Wang*, Hongxin Hu, Ziang Li, Xiaoyang Xu
IEEE Transactions on Dependable and Secure Computing (IEEE TDSC)
Learning to Defend: Auto-Augmentation Search Against Model Inversion Attacks
Wenzhe Yi, Xiaoyang Xu*, Yong Zhuang*, Juan Wang*, Ziang Li, Hongxin Hu
IEEE Transactions on Information Forensics and Security (IEEE TIFS)
GEIA: Generative Enhancement Inversion Attack Targeting Machine Unlearning
Yaoxuan Ma, Xiaoyang Xu*, Juan Wang*, Wenzhe Yi, Yaxin Liu
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026
Can Data Augmentation Become a Privacy Shield for Model Inversion Attacks?
Wenzhe Yi, Xiaoyang Xu, Yong Zhuang, Juan Wang*
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026
SLeak: Multi-Target Privacy Stealing Attack against Split Learning
Xiaoyang Xu, Wenzhe Yi, Juan Wang*, Hongxin Hu, Mengda Yang, Ziang Li, Yong Zhuang, Yaxin Liu, Mang Ye
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI)
Membership inference attacks against split inference via knowledge transfer
Wenzhe Yi†, Mengda Yang†, Juan Wang*, Hongxin Hu, Ziang Li, Xiaoyang Xu, Yu He, Yao Wang
Neurocomputing
HVGuard: Utilizing Multimodal Large Language Models for Hateful Video Detection
Yiheng Jing†, Mingming Zhang†, Yong Zhuang*, Jiacheng Guo, Juan Wang*, Xiaoyang Xu, Wenzhe Yi, Keyan Guo, Hongxin Hu
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP main), 2025
Stealing Data from Active Party in Vertical Split Learning
Yaxin Liu, Xiaoyang Xu, Wenzhe Yi, Yong Zhuang, Juan Wang*, Mengda Yang, Ziang Li
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2025
BiFD: A Bidirectional Feature Discrepancy Defense against Hijacking Attack in Split Learning
Xiaoyang Xu, Wenzhe Yi, Juan Wang*, Yong Zhuang, Mengda Yang, Ziang Li, Yaxin Liu
IEEE International Conference on Multimedia & Expo (ICME), 2025
From Head to Tail: Efficient Black-box Model Inversion Attack via Long-tailed Learning
Ziang Li, Hongguang Zhang, Juan Wang*, Meihui Chen, Hongxin Hu, Wenzhe Yi, Xiaoyang Xu, Mengda Yang, Chenjun Ma
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
I know what you MEME! Understanding and Detecting Harmful Memes with Multimodal Large Language Models
Yong Zhuang†, Keyan Guo†, Juan Wang*, Yiheng Jing, Xiaoyang Xu, Wenzhe Yi, Mengda Yang, Bo Zhao, Hongxin Hu
The Network and Distributed System Security Symposium (NDSS), 2025
Penetralium: Privacy-Preserving and Memory-Efficient Neural Network Inference at the Edge
Mengda Yang, Wenzhe Yi, Juan Wang*, Hongxin Hu, Xiaoyang Xu, Ziang Li
Future Generation Computer Systems (FGCS)
A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning
Xiaoyang Xu, Mengda Yang, Wenzhe Yi, Ziang Li, Juan Wang*, Hongxin Hu, Yong Zhuang, Yaxin Liu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
GAN You See Me? Enhanced Data Reconstruction Attacks against Split Inference
Ziang Li, Mengda Yang, Yaxin Liu, Juan Wang*, Hongxin Hu, Wenzhe Yi, Xiaoyang Xu
Advances in Neural Information Processing Systems (NeurIPS), 2023
Enhance the trust between IoT devices, mobile apps, and the cloud based on blockchain
Juan Wang*, Wenzhe Yi, Mengda Yang, Jiaci Ma, Shengzhi Zhang, Shirong Hao
Journal of Network and Computer Applications (JNCA)