Mengda Yang

17 papers A* 6A 1B 1Misc 1Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
SLeak: Multi-Target Privacy Stealing Attack Against Split Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiaoyang Xu, Wenzhe Yi, Juan Wang, Hongxin Hu, Mengda Yang, Ziang Li, Yong Zhuang, Yaxin Liu, Mang Ye
2025 A conf
BiFD: A Bidirectional Feature Discrepancy Defense against Hijacking Attack in Split Learning.
ICME
Xiaoyang Xu, Wenzhe Yi, Juan Wang, Yong Zhuang, Mengda Yang, Ziang Li, Yaxin Liu
2025 A* conf
From Head to Tail: Efficient Black-box Model Inversion Attack via Long-tailed Learning.
CVPR
Ziang Li, Hongguang Zhang, Juan Wang, Meihui Chen, Hongxin Hu, Wenzhe Yi, Xiaoyang Xu, Mengda Yang, Chenjun Ma
2025 J jnl
From Head to Tail: Efficient Black-box Model Inversion Attack via Long-tailed Learning.
CoRR
Ziang Li, Hongguang Zhang, Juan Wang, Meihui Chen, Hongxin Hu, Wenzhe Yi, Xiaoyang Xu, Mengda Yang, Chenjun Ma
2025 A* conf
I know what you MEME! Understanding and Detecting Harmful Memes with Multimodal Large Language Models.
NDSS
Yong Zhuang, Keyan Guo, Juan Wang, Yiheng Jing, Xiaoyang Xu, Wenzhe Yi, Mengda Yang, Bo Zhao, Hongxin Hu
2025 — conf
Stealing Data from Active Party in Vertical Split Learning.
ECML/PKDD (5)
Yaxin Liu, Xiaoyang Xu, Wenzhe Yi, Yong Zhuang, Juan Wang, Mengda Yang, Ziang Li
2024 A* conf
A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack Against Split Learning.
CVPR
Xiaoyang Xu, Mengda Yang, Wenzhe Yi, Ziang Li, Juan Wang, Hongxin Hu, Yong Zhuang, Yaxin Liu
2024 J jnl
A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning.
CoRR
Xiaoyang Xu, Mengda Yang, Wenzhe Yi, Ziang Li, Juan Wang, Hongxin Hu, Yong Zhuang, Yaxin Liu
2024 B conf
CCall: Recovering Indirect Call Targets from Binaries With Cross-Domain Fine-Tuning.
COMPSAC
Bin Weng, Yunru Wang, Juan Wang, Mengda Yang, Ziang Li, Fei Li
2024 A* conf
Is Difficulty Calibration All We Need? Towards More Practical Membership Inference Attacks.
CCS
Yu He, Boheng Li, Yao Wang, Mengda Yang, Juan Wang, Hongxin Hu, Xingyu Zhao
2024 J jnl
Is Difficulty Calibration All We Need? Towards More Practical Membership Inference Attacks.
CoRR
Yu He, Boheng Li, Yao Wang, Mengda Yang, Juan Wang, Hongxin Hu, Xingyu Zhao
2024 J jnl
Penetralium: Privacy-preserving and memory-efficient neural network inference at the edge.
Future Gener. Comput. Syst.
Mengda Yang, Wenzhe Yi, Juan Wang, Hongxin Hu, Xiaoyang Xu, Ziang Li
2023 J jnl
Enhance the trust between IoT devices, mobile apps, and the cloud based on blockchain.
J. Netw. Comput. Appl.
Juan Wang, Wenzhe Yi, Mengda Yang, Jiaci Ma, Shengzhi Zhang, Shirong Hao
2023 A* conf
GAN You See Me? Enhanced Data Reconstruction Attacks against Split Inference.
NeurIPS
Ziang Li, Mengda Yang, Yaxin Liu, Juan Wang, Hongxin Hu, Wenzhe Yi, Xiaoyang Xu
2023 J jnl
SvTPM: SGX-Based Virtual Trusted Platform Modules for Cloud Computing.
IEEE Trans. Cloud Comput.
Juan Wang, Jie Wang, Chengyang Fan, Fei Yan, Yueqiang Cheng, Yinqian Zhang, Wenhui Zhang, Mengda Yang, Hongxin Hu
2022 A* conf
Measuring Data Reconstruction Defenses in Collaborative Inference Systems.
NeurIPS
Mengda Yang, Ziang Li, Juan Wang, Hongxin Hu, Ao Ren, Xiaoyang Xu, Wenzhe Yi
2012 Misc conf
An effective approach to pedestrian detection in thermal imagery.
ICNC
Wei Li, Dequan Zheng, Tiejun Zhao, Mengda Yang