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ORCIDShuai Zhou 0001
Person information
- affiliation: City University of Macau, Faculty of Data Science, Macau
- affiliation (PhD 2024): University of Technology Sydney, School of Computer Science, Centre of Cyber Security and Privacy, Ultimo, Australia
- affiliation (until 2019): University of Chinese Academy of Sciences, School of Cyber Security, Beijing, China
Other persons with the same name
- Shuai Zhou — disambiguation page
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2020 – today
- 2025
[i7]Yinghe Zhang, Chi Liu, Shuai Zhou, Sheng Shen, Peng Gui:
Unleashing the Power of Pre-trained Encoders for Universal Adversarial Attack Detection. CoRR abs/2504.00429 (2025)- 2024
- [j5]Shuai Zhou
, Tianqing Zhu, Dayong Ye, Xin Yu, Wanlei Zhou:
Boosting Model Inversion Attacks With Adversarial Examples. IEEE Trans. Dependable Secur. Comput. 21(3): 1451-1468 (2024) - [j4]Shuai Zhou, Tianqing Zhu, Dayong Ye, Wanlei Zhou, Wei Zhao:
Inversion-Guided Defense: Detecting Model Stealing Attacks by Output Inverting. IEEE Trans. Inf. Forensics Secur. 19: 4130-4145 (2024) - [i6]Shuai Zhou, Dayong Ye, Tianqing Zhu, Wanlei Zhou:
Defending Against Neural Network Model Inversion Attacks via Data Poisoning. CoRR abs/2412.07575 (2024) - 2023
- [j3]Shuai Zhou, Chi Liu, Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu:
Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity. ACM Comput. Surv. 55(8): 163:1-163:39 (2023) - [j2]Tianqing Zhu, Dayong Ye, Shuai Zhou, Bo Liu, Wanlei Zhou:
Label-Only Model Inversion Attacks: Attack With the Least Information. IEEE Trans. Inf. Forensics Secur. 18: 991-1005 (2023) - [i5]Shuai Zhou, Tianqing Zhu, Dayong Ye, Xin Yu, Wanlei Zhou:
Boosting Model Inversion Attacks with Adversarial Examples. CoRR abs/2306.13965 (2023) - 2022
- [i4]Dayong Ye, Tianqing Zhu, Shuai Zhou, Bo Liu, Wanlei Zhou:
Label-only Model Inversion Attack: The Attack that Requires the Least Information. CoRR abs/2203.06555 (2022) - [i3]Dayong Ye, Huiqiang Chen, Shuai Zhou, Tianqing Zhu, Wanlei Zhou, Shouling Ji:
Model Inversion Attack against Transfer Learning: Inverting a Model without Accessing It. CoRR abs/2203.06570 (2022) - 2021
- [c2]Xiaolin Chen, Shuai Zhou, Bei Guan, Kai Yang, Hao Fao, Hu Wang, Yongji Wang:
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Vertical Federated Learning. IEEE BigData 2021: 1242-1248 - [i2]Xiaolin Chen, Shuai Zhou, Kai Yang, Hao Fan, Zejin Feng, Zhong Chen, Hu Wang, Yongji Wang:
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning. CoRR abs/2105.09540 (2021) - 2020
- [j1]Qinju Liu, Xianhui Lu, Fucai Luo, Shuai Zhou, Jingnan He, Kunpeng Wang:
SecureBP from Homomorphic Encryption. Secur. Commun. Networks 2020: 5328059:1-5328059:9 (2020)
2010 – 2019
- 2018
- [c1]Shuai Zhou, Haiyang Xue, Daode Zhang, Kunpeng Wang, Xianhui Lu, Bao Li, Jingnan He:
Preprocess-then-NTT Technique and Its Applications to Kyber and NewHope. Inscrypt 2018: 117-137 - [i1]Shuai Zhou, Haiyang Xue, Daode Zhang, Kunpeng Wang, Xianhui Lu, Bao Li, Jingnan He:
Preprocess-then-NTT Technique and Its Applications to KYBER and NEWHOPE. IACR Cryptol. ePrint Arch. 2018: 995 (2018)
Coauthor Index
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