Guangsheng Zhang

According to our database, Guangsheng Zhang authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

PPFed: A Privacy-Preserving and Personalized Federated Learning Framework.

Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou

IEEE Internet Things J., June, 2024

How Does a Deep Learning Model Architecture Impact Its Privacy? A Comprehensive Study of Privacy Attacks on CNNs and Transformers.

Guangsheng Zhang, Bo Liu, Huan Tian, Tianqing Zhu, Ming Ding, Wanlei Zhou

Proceedings of the 33rd USENIX Security Symposium, 2024

When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks.

Huan Tian, Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Label-Only Membership Inference Attacks and Defenses in Semantic Segmentation Models.

Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou

IEEE Trans. Dependable Secur. Comput., 2023

FD-MIA: Efficient Attacks on Fairness-enhanced Models.

Huan Tian, Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou

CoRR, 2023

2022

How Does a Deep Learning Model Architecture Impact Its Privacy?

Guangsheng Zhang, Bo Liu, Huan Tian, Tianqing Zhu, Ming Ding, Wanlei Zhou

CoRR, 2022

Visual privacy attacks and defenses in deep learning: a survey.

Guangsheng Zhang, Bo Liu, Tianqing Zhu, Andi Zhou, Wanlei Zhou

Artif. Intell. Rev., 2022