Zheng Li

According to our database, Zheng Li authored at least 29 papers between 2019 and 2025.

Collaborative distances:

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

2025

A Comprehensive Study of Privacy Risks in Curriculum Learning.

Joann Qiongna Chen, Xinlei He, Zheng Li, Yang Zhang, Zhou Li

Proc. Priv. Enhancing Technol., 2025

2024

<i>ModSCAN</i>: 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

CoRR, 2024

Membership Inference Attack Against Masked Image Modeling.

Zheng Li, Xinlei He, Ning Yu, Yang Zhang

CoRR, 2024

Jailbreaking Text-to-Image Models with LLM-Based Agents.

Yingkai Dong, Zheng Li, Xiangtao Meng, Ning Yu, Shanqing Guo

CoRR, 2024

SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models.

Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, Michael Backes, Mario Fritz, Yang Zhang

Proceedings of the 33rd USENIX Security Symposium, 2024

PRJack: Pruning-Resistant Model Hijacking Attack Against Deep Learning Models.

Ge Han, Zheng Li, Shanqing Guo

Proceedings of the International Joint Conference on Neural Networks, 2024

Detection and Attribution of Models Trained on Generated Data.

Ge Han, Ahmed Salem, Zheng Li, Shanqing Guo, Michael Backes, Yang Zhang

Proceedings of the IEEE International Conference on Acoustics, 2024

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Inside the Black Box: Detecting Data Leakage in Pre-Trained Language Encoders.

Yuan Xin, Zheng Li, Ning Yu, Dingfan Chen, Mario Fritz, Michael Backes, Yang Zhang

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

BadMerging: Backdoor Attacks Against Model Merging.

Jinghuai Zhang, Jianfeng Chi, Zheng Li, Kunlin Cai, Yang Zhang, Yuan Tian

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

Membership Inference Attacks Against In-Context Learning.

Rui Wen, Zheng Li, Michael Backes, Yang Zhang

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

SeqMIA: Sequential-Metric Based Membership Inference Attack.

Hao Li, Zheng Li, Siyuan Wu, Chengrui Hu, Yutong Ye, Min Zhang, Dengguo Feng, Yang Zhang

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

Generative Watermarking Against Unauthorized Subject-Driven Image Synthesis.

Yihan Ma, Zhengyu Zhao, Xinlei He, Zheng Li, Michael Backes, Yang Zhang

CoRR, 2023

Watermarking Diffusion Model.

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

CoRR, 2023

UnGANable: Defending Against GAN-based Face Manipulation.

Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang

Proceedings of the 32nd USENIX Security Symposium, 2023

Backdoor Attacks Against Dataset Distillation.

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

Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

Data Poisoning Attacks Against Multimodal Encoders.

Ziqing Yang, Xinlei He, Zheng Li, Michael Backes, Mathias Humbert, Pascal Berrang, Yang Zhang

Proceedings of the International Conference on Machine Learning, 2023

DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models.

Zeyang Sha, Zheng Li, Ning Yu, Yang Zhang

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models.

Kai Mei, Zheng Li, Zhenting Wang, Yang Zhang, Shiqing Ma

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Diffusion Models.

Zeyang Sha, Zheng Li, Ning Yu, Yang Zhang

CoRR, 2022

Backdoor Attacks in the Supply Chain of Masked Image Modeling.

Xinyue Shen, Xinlei He, Zheng Li, Yun Shen, Michael Backes, Yang Zhang

CoRR, 2022

Membership Inference Attacks Against Text-to-image Generation Models.

Yixin Wu, Ning Yu, Zheng Li, Michael Backes, Yang Zhang

CoRR, 2022

Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models.

Xinlei He, Zheng Li, Weilin Xu, Cory Cornelius, Yang Zhang

CoRR, 2022

FuzzGAN: A Generation-Based Fuzzing Framework for Testing Deep Neural Networks.

Ge Han, Zheng Li, Peng Tang, Chengyu Hu, Shanqing Guo

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Auditing Membership Leakages of Multi-Exit Networks.

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

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

Membership Leakage in Label-Only Exposures.

Zheng Li, Yang Zhang

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020

Label-Leaks: Membership Inference Attack with Label.

Zheng Li, Yang Zhang

CoRR, 2020

2019

DeepKeyStego: Protecting Communication by Key-Dependent Steganography with Deep Networks.

Zheng Li, Ge Han, Shanqing Guo, Chengyu Hu

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

How to prove your model belongs to you: a blind-watermark based framework to protect intellectual property of DNN.

Zheng Li, Chengyu Hu, Yang Zhang, Shanqing Guo

Proceedings of the 35th Annual Computer Security Applications Conference, 2019