2026

TIFS'26
Robustness Over Time: Understanding Adversarial Examples' Effectiveness on Longitudinal Versions of Large Language Models

Yugeng Liu, Tianshuo Cong, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang

IEEE Transactions on Information Forensics & Security (TIFS), 2026

Paper arXiv

2025

Preprint
Amplifying Machine Learning Attacks Through Strategic Compositions

Yugeng Liu, Zheng Li, Hai Huang, Michael Backes, Yang Zhang

Preprint, 2025

arXiv
Preprint
Watermarking LLM-Generated Datasets in Downstream Tasks

Yugeng Liu, Tianshuo Cong, Michael Backes, Zheng Li, Yang Zhang

Preprint, 2025

arXiv
ACL'25
JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs

Junjie Chu, Yugeng Liu, Ziqing Yang, Xinyue Shen, Michael Backes, Yang Zhang

Annual Meeting of the Association for Computational Linguistics (ACL), Vienna, Austria, July 2025

Paper arXiv Code
ICME'25
Neeko: Model Hijacking Attacks Against Generative Adversarial Networks

Junjie Chu, Yugeng Liu, Xinlei He, Michael Backes, Yang Zhang, Ahmed Salem

IEEE International Conference on Multimedia & Expo (ICME), Nantes, France, June 2025

Paper

2024

EMNLP'24
ModSCAN: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities

Yukun Jiang, Zheng Li, Xinyue Shen, Yugeng Liu, Michael Backes, Yang Zhang

Conference on Empirical Methods in Natural Language Processing (EMNLP), Miami, FL, USA, Nov 2024

Paper arXiv
ICWSM'24
Games and Beyond: Analyzing the Bullet Chats of Esports Livestreaming

Yukun Jiang, Xinyue Shen, Rui Wen, Zeyang Sha, Junjie Chu, Yugeng Liu, Michael Backes, Yang Zhang

International Conference on Web and Social Media (ICWSM), Buffalo, NY, USA, June 2024

Paper

2023

Preprint
Watermarking Diffusion Model

Yugeng Liu, Zheng Li, Michael Backes, Yun Shen, Yang Zhang

Preprint, 2023

arXiv
NDSS'23
Backdoor Attacks Against Dataset Distillation

Yugeng Liu, Zheng Li, Michael Backes, Yun Shen, Yang Zhang

Network and Distributed System Security Symposium (NDSS), San Diego, CA, USA, Feb 2023

Paper arXiv Code Video

2022

Security'22
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 (* equal contribution)

USENIX Security Symposium, Boston, MA, USA, Aug 2022

Paper arXiv Code Video

2019

COSE'19
Securing Android Applications via Edge Assistant Third-Party Library Detection

Zhushou Tang, Minhui Xue, Guozhu Meng, Chengguo Ying, Yugeng Liu, Jianan He, Haojin Zhu, Yang Liu

Computers & Security (COSE), 2019

Paper

2018

CCS'18
HoMonit: Monitoring Smart Home Apps from Encrypted Traffic

Wei Zhang, Yan Meng, Yugeng Liu, Xiaokuan Zhang, Yinqian Zhang, Haojin Zhu

ACM Conference on Computer and Communications Security (CCS), Toronto, Canada, Oct 2018

Paper Video