Xiaoyang Xu

According to our database, Xiaoyang Xu authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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 Trans. Pattern Anal. Mach. Intell., May, 2026

AgentSentry: Mitigating Indirect Prompt Injection in LLM Agents via Temporal Causal Diagnostics and Context Purification.

Tian Zhang, Yiwei Xu, Juan Wang, Keyan Guo, Xiaoyang Xu, Bowen Xiao, Quanlong Guan, Jinlin Fan, Jiawei Liu, Zhiquan Liu, Hongxin Hu

CoRR, February, 2026

Learning to Defend: Auto-Augmentation Search Against Model Inversion Attacks.

Wenzhe Yi, Xiaoyang Xu, Yong Zhuang, Juan Wang, Ziang Li, Hongxin Hu

IEEE Trans. Inf. Forensics Secur., 2026

2025

Stealing Data from Active Party in Vertical Split Learning.

Yaxin Liu, Xiaoyang Xu, Wenzhe Yi, Yong Zhuang, Juan Wang, Mengda Yang, Ziang Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 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

Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 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

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

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, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

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 Gener. Comput. Syst., 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Measuring Data Reconstruction Defenses in Collaborative Inference Systems.

Mengda Yang, Ziang Li, Juan Wang, Hongxin Hu, Ao Ren, Xiaoyang Xu, Wenzhe Yi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022