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ORCIDPeng Ye 0005
Person information
- affiliation: Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong
- affiliation (former): Tsinghua University, Institute for Interdisciplinary Information Sciences, Beijing, China
Other persons with the same name
- Peng Ye — disambiguation page
- Peng Ye 0001 — Airbnb, San Francisco, CA, USA (and 2 more)
- Peng Ye 0002 — Wuhan Textile University, College of Mathematics and Computer, Wuhan, China (and 1 more)
- Peng Ye 0003
![[0000-0002-5802-465X]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0002-5802-465X")
— University of Electronic Science and Technology of China, School of Automation Engineering, Chengdu, China - Peng Ye 0004 — Nanjing Normal University, MOE Key Laboratory of Virtual Geographic Environment, China (and 2 more)
- Peng Ye 0006 — Chinese University of Hong Kong (and 2 more)
- Peng Ye 0007 — China Mobile (Zhejiang) Innovation Research Institute Company Ltd., Zhejiang, China (and 1 more)
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2020 – today
- 2025
[j1]Peng Ye, Zhifeng Jiang, Wei Wang, Bo Li, Baochun Li:
Feature Reconstruction Attacks and Countermeasures of DNN Training in Vertical Federated Learning. IEEE Trans. Dependable Secur. Comput. 22(3): 2659-2669 (2025)- 2024
- [c5]Bo Li, Wei Wang, Peng Ye:
Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy. ICML 2024: 28870-28889 - [c4]Bo Li, Wei Wang, Peng Ye:
The Limits of Differential Privacy in Online Learning. NeurIPS 2024 - [c3]Zhifeng Jiang, Peng Ye, Shiqi He, Wei Wang, Ruichuan Chen, Bo Li:
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning. USENIX Security Symposium 2024 - [i4]Zhifeng Jiang, Peng Ye, Shiqi He, Wei Wang, Ruichuan Chen, Bo Li:
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning. CoRR abs/2401.02880 (2024) - 2022
- [i3]Peng Ye, Zhifeng Jiang, Wei Wang, Bo Li, Baochun Li:
Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated Learning. CoRR abs/2210.06771 (2022) - 2021
- [c2]Cyrus Rashtchian, David P. Woodruff, Peng Ye, Hanlin Zhu:
Average-Case Communication Complexity of Statistical Problems. COLT 2021: 3859-3886 - [c1]Rajesh Jayaram, Alireza Samadian, David P. Woodruff, Peng Ye:
In-Database Regression in Input Sparsity Time. ICML 2021: 4797-4806 - [i2]Cyrus Rashtchian, David P. Woodruff, Peng Ye, Hanlin Zhu:
Average-Case Communication Complexity of Statistical Problems. CoRR abs/2107.01335 (2021) - [i1]Rajesh Jayaram, Alireza Samadian, David P. Woodruff, Peng Ye:
In-Database Regression in Input Sparsity Time. CoRR abs/2107.05672 (2021)
Coauthor Index
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