Measuring Data Reconstruction Defenses in Collaborative Inference Systems. - Mengda Yang; Ziang Li; Juan Wang 006; Hongxin Hu; Ao Ren; Xiaoyang Xu 001; Wenzhe Yi (NeurIPS, 2022)

GAN You See Me? Enhanced Data Reconstruction Attacks against Split Inference. - Ziang Li; Mengda Yang; Yaxin Liu; Juan Wang 006; Hongxin Hu; Wenzhe Yi; Xiaoyang Xu 001 (NeurIPS, 2023)

A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack Against Split Learning. - Xiaoyang Xu 001; Mengda Yang; Wenzhe Yi; Ziang Li; Juan Wang 006; Hongxin Hu; Yong Zhuang; Yaxin Liu (CVPR, 2024)

Penetralium: Privacy-preserving and memory-efficient neural network inference at the edge. - Mengda Yang; Wenzhe Yi; Juan Wang 006; Hongxin Hu; Xiaoyang Xu 001; Ziang Li (Future Gener. Comput. Syst., 2024)

From Head to Tail: Efficient Black-box Model Inversion Attack via Long-tailed Learning. - Ziang Li; Hongguang Zhang; Juan Wang 006; Meihui Chen; Hongxin Hu; Wenzhe Yi; Xiaoyang Xu 001; Mengda Yang; Chenjun Ma (CVPR, 2025)

I know what you MEME! Understanding and Detecting Harmful Memes with Multimodal Large Language Models. - Yong Zhuang; Keyan Guo; Juan Wang 006; Yiheng Jing; Xiaoyang Xu 001; Wenzhe Yi; Mengda Yang; Bo Zhao 023; Hongxin Hu (NDSS, 2025)