Rui Zhang

17 papers A* 2A 1Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Toward Federated Learning of Deep Graph Neural Networks.
IEEE Trans. Knowl. Data Eng.
Zhihua Tian, Yuan Ding, Rui Zhang, Yao Tang, Jian Liu, Kui Ren
2025 J jnl
Amulet: a Python Library for Assessing Interactions Among ML Defenses and Risks.
CoRR
Asim Waheed, Vasisht Duddu, Rui Zhang, Sebastian Szyller, N. Asokan
2025 J jnl
Attributed Graph Clustering in Collaborative Settings.
IEEE Trans. Dependable Secur. Comput.
Rui Zhang, Xiaoyang Hou, Zhihua Tian, Yan He, Enchao Gong, Jian Liu, Qingbiao Wu, Kui Ren
2025 J jnl
Combining Machine Learning Defenses without Conflicts.
Trans. Mach. Learn. Res.
Vasisht Duddu, Rui Zhang, N. Asokan
2025 — conf
Espresso: Robust Concept Filtering in Text-to-Image Models.
CODASPY
Anudeep Das, Vasisht Duddu, Rui Zhang, N. Asokan
2024 J jnl
${\sf FederBoost}$: Private Federated Learning for GBDT.
IEEE Trans. Dependable Secur. Comput.
Zhihua Tian, Rui Zhang, Xiaoyang Hou, Lingjuan Lyu, Tianyi Zhang, Jian Liu, Kui Ren
2024 J jnl
Attributed Graph Clustering in Collaborative Settings.
CoRR
Rui Zhang, Xiaoyang Hou, Zhihua Tian, Yan He, Enchao Gong, Jian Liu, Qingbiao Wu, Kui Ren
2024 J jnl
Combining Machine Learning Defenses without Conflicts.
CoRR
Vasisht Duddu, Rui Zhang, N. Asokan
2024 J jnl
Espresso: Robust Concept Filtering in Text-to-Image Models.
CoRR
Anudeep Das, Vasisht Duddu, Rui Zhang, N. Asokan
2024 A* conf
False Claims against Model Ownership Resolution.
USENIX Security Symposium
Jian Liu, Rui Zhang, Sebastian Szyller, Kui Ren, N. Asokan
2024 A conf
PrivRE: Regular Expression Matching for Encrypted Packet Inspection.
ICDCS
Xiaoyang Hou, Jian Liu, Tianyu Tu, Rui Zhang, Kui Ren
2023 J jnl
False Claims against Model Ownership Resolution.
CoRR
Jian Liu, Rui Zhang, Sebastian Szyller, Kui Ren, N. Asokan
2023 J jnl
On the Robustness of Dataset Inference.
Trans. Mach. Learn. Res.
Sebastian Szyller, Rui Zhang, Jian Liu, N. Asokan
2022 A* conf
"Adversarial Examples" for Proof-of-Learning.
SP
Rui Zhang, Jian Liu, Yuan Ding, Zhibo Wang, Qingbiao Wu, Kui Ren
2022 J jnl
On the Robustness of Dataset Inference.
CoRR
Sebastian Szyller, Rui Zhang, Jian Liu, N. Asokan
2021 J jnl
"Adversarial Examples" for Proof-of-Learning.
CoRR
Rui Zhang, Jian Liu, Yuan Ding, Qingbiao Wu, Kui Ren
2020 J jnl
FederBoost: Private Federated Learning for GBDT.
CoRR
Zhihua Tian, Rui Zhang, Xiaoyang Hou, Jian Liu, Kui Ren