$^\dagger$: Corresponding author.
You can also find my publications on Google Scholar.
PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning
Zhen Sun, Tianshuo Cong, Yule Liu, Chenhao Lin, Xinlei He$^\dagger$, Rongmao Chen, Xingshuo Han, and Xinyi Huang; IEEE S&P 2025From Purity to Peril: Backdooring Merged Models From “Harmless” Benign Components
Lijin Wang, Jingjing Wang, Tianshuo Cong$^\dagger$, Xinlei He$^\dagger$, Zhan Qin, and Xinyi Huang; USENIX Security 2025Safety Misalignment Against Large Language Models
Yichen Gong, Delong Ran, Xinlei He, Tianshuo Cong, Anyu Wang, and Xiaoyun Wang NDSS Symposium 2025(AR: 211/1311=16.1%, AR Fall: 14.5%) 🎖️ Artifact Badges: Available, Functional, Reproduced
CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers
Jingyi Zheng, Tianyi Hu, Tianshuo Cong, and Xinlei He$^\dagger$; AAAI 2025Have You Merged My Model? On The Robustness of Large Language Model IP Protection Methods Against Model Merging
Tianshuo Cong, Delong Ran, Zesen Liu, Xinlei He, Jinyuan Liu, Yichen Gong, Qi Li, Anyu Wang, Xiaoyun Wang; 1st ACM CCS Workshop on Large AI Systems and Models with Privacy and Safety Analysis (LAMPS)🏆 Best Paper Award
MGTBench: Benchmarking Machine-Generated Text Detection
Xinlei He, Xinyue Shen, Zeyuan Chen, Michael Backes, Yang Zhang; CCS 2024

SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models
Boyang Zhang, Zheng Li, Ziqing Yang,Xinlei He, Michael Backes, Mario Fritz, Yang Zhang; USENIX Security 2024

You Only Prompt Once: On the Capabilities of Prompt Learning on Large Language Models to Tackle Toxic Content
Xinlei He, Savvas Zannettou, Yun Shen, Yang Zhang; S&P 2024

Test-Time Poisoning Attacks Against Test-Time Adaptation Models
Tianshuo Cong, Xinlei He, Yun Shen, Yang Zhang; S&P 2024

Link Stealing Attacks Against Inductive Graph Neural Networks
Yixin Wu, Xinlei He, Pascal Berrang, Mathias Humbert, Michael Backes, Neil Zhenqiang Gong, Yang Zhang; PoPETS 2024 Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models
Yiting Qu, Xinyue Shen, Xinlei He, Michael Backes, Savvas Zannettou, Yang Zhang; CCS 2023

Data Poisoning Attacks Against Multimodal Encoders
Ziqing Yang, Xinlei He, Zheng Li, Michael Backes, Mathias Humbert, Pascal Berrang, Yang Zhang; ICML 2023

Generated Graph Detection
Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang; ICML 2023

Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders
Zeyang Sha, Xinlei He, Ning Yu, Michael Backes, Yang Zhang; CVPR 2023

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

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

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

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

Stealing Links from Graph Neural Networks
Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, Yang Zhang; USENIX Security 2021

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