Rui Zhang

According to our database, Rui Zhang authored at least 10 papers between 2020 and 2025.

Collaborative distances:

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

2025

Combining Machine Learning Defenses without Conflicts.

Vasisht Duddu, Rui Zhang, N. Asokan

Trans. Mach. Learn. Res., 2025

Attributed Graph Clustering in Collaborative Settings.

Rui Zhang, Xiaoyang Hou, Zhihua Tian, Yan He, Enchao Gong, Jian Liu, Qingbiao Wu, Kui Ren

IEEE Trans. Dependable Secur. Comput., 2025

Espresso: Robust Concept Filtering in Text-to-Image Models.

Anudeep Das, Vasisht Duddu, Rui Zhang, N. Asokan

Proceedings of the Fifteenth ACM Conference on Data and Application Security and Privacy, 2025

2024

${\sf FederBoost}$: Private Federated Learning for GBDT.

Zhihua Tian, Rui Zhang, Xiaoyang Hou, Lingjuan Lyu, Tianyi Zhang, Jian Liu, Kui Ren

IEEE Trans. Dependable Secur. Comput., 2024

False Claims against Model Ownership Resolution.

Jian Liu, Rui Zhang, Sebastian Szyller, Kui Ren, N. Asokan

Proceedings of the 33rd USENIX Security Symposium, 2024

PrivRE: Regular Expression Matching for Encrypted Packet Inspection.

Xiaoyang Hou, Jian Liu, Tianyu Tu, Rui Zhang, Kui Ren

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

2023

On the Robustness of Dataset Inference.

Sebastian Szyller, Rui Zhang, Jian Liu, N. Asokan

Trans. Mach. Learn. Res., 2023

2022

"Adversarial Examples" for Proof-of-Learning.

Rui Zhang, Jian Liu, Yuan Ding, Zhibo Wang, Qingbiao Wu, Kui Ren

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

2021

"Adversarial Examples" for Proof-of-Learning.

Rui Zhang, Jian Liu, Yuan Ding, Qingbiao Wu, Kui Ren

CoRR, 2021

2020

FederBoost: Private Federated Learning for GBDT.

Zhihua Tian, Rui Zhang, Xiaoyang Hou, Jian Liu, Kui Ren

CoRR, 2020