You can also find my publications on Google Scholar.


Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders

Zeyang Sha, Xinlei He, Ning Yu, Michael Backes, Yang Zhang; CVPR 2023


A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots

Boyang Zhang, Xinlei He, Yun Shen, Tianhao Wang, Yang Zhang; USENIX Security 2023


On the Evolution of (Hateful) Memes by Means of Multimodal Contrastive Learning

Yiting Qu, Xinlei He, Shannon Pierson, Michael Backes, Yang Zhang, Savvas Zannettou; S&P 2023

[paper] [code]


Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning

Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang; ECCV 2022

SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders

Tianshuo Cong, Xinlei He, Yang Zhang; CCS 2022


Auditing Membership Leakages of Multi-Exit Networks

Zheng Li, Yiyong Liu, Xinlei He, Ning Yu, Michael Backes, Yang Zhang; CCS 2022

Model Stealing Attacks Against Inductive Graph Neural Networks

Yun Shen*, Xinlei He*, Yufei Han, Yang Zhang (* Equal Contribution); S&P 2022

[paper] [code]

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models

Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang; USENIX Security 2022

[paper] [code]

On Xing Tian and the Perseverance of Anti-China Sentiment Online

Xinyue Shen, Xinlei He, Michael Backes, Jeremy Blackburn, Savvas Zannettou, Yang Zhang; ICWSM 2022



Quantifying and Mitigating Privacy Risks of Contrastive Learning

Xinlei He, Yang Zhang; CCS 2021

[paper] [code]

Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, Yang Zhang; USENIX Security 2021

[paper] [code]

Trimming Mobile Applications for Bandwidth-Challenged Networks in Developing Regions

Qinge Xie, Qingyuan Gong, Xinlei He, Yang Chen, Xin Wang, Haitao Zheng, Ben Y. Zhao; IEEE Transactions on Mobile Computing (TMC)


DatingSec: Detecting Malicious Accounts in Dating Apps Using a Content-Based Attention Network

Xinlei He, Qingyuan Gong, Yang Chen, Yang Zhang, Xin Wang, Xiaoming Fu; IEEE Transactions on Dependable and Secure Computing (TDSC)


Prior to PhD:

Cross-Site Prediction on Social Influence for Cold-Start Users in Online Social Networks

Qingyuan Gong, Yang Chen, Xinlei He, Yu Xiao, Pan Hui, Xin Wang, Xiaoming Fu; ACM Transactions on the Web (TWEB)


DeepScan: Exploiting Deep Learning for Malicious Account Detection in Location-Based Social Networks

Qingyuan Gong, Yang Chen, Xinlei He, Zhou Zhuang, Tianyi Wang, Hong Huang, Xin Wang, Xiaoming Fu; IEEE Communications Magazine