Zheng Li

According to our database, Zheng Li authored at least 18 papers between 2019 and 2023.

Collaborative distances:

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

2023

SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models.

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

CoRR, 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