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Pengzhi Huang
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2020 – today
- 2024
- [j2]Pengzhi Huang, Thang Hoang, Yueying Li, Elaine Shi, G. Edward Suh:
Efficient Privacy-Preserving Machine Learning with Lightweight Trusted Hardware. Proc. Priv. Enhancing Technol. 2024(4): 327-348 (2024) - [j1]Pengzhi Huang, Emre Gönültas, Maximilian Arnold, K. Pavan Srinath, Jakob Hoydis
, Christoph Studer
Attacking and Defending Deep-Learning-Based Off-Device Wireless Positioning Systems. IEEE Trans. Wirel. Commun. 23(8): 8883-8895 (2024) - 2023
- [c2]Tung Le, Pengzhi Huang, Attila A. Yavuz
Efficient Dynamic Proof of Retrievability for Cold Storage. NDSS 2023 - 2022
- [i4]Pengzhi Huang, Thang Hoang, Yueying Li, Elaine Shi, G. Edward Suh:
STAMP: Lightweight TEE-Assisted MPC for Efficient Privacy-Preserving Machine Learning. CoRR abs/2210.10133 (2022) - [i3]Pengzhi Huang, Emre Gönültas, Maximilian Arnold, K. Pavan Srinath, Jakob Hoydis, Christoph Studer:
Attacking and Defending Deep-Learning-Based Off-Device Wireless Positioning Systems. CoRR abs/2211.08291 (2022) - [i2]Tung Le, Pengzhi Huang, Attila A. Yavuz, Elaine Shi, Thang Hoang:
Efficient Dynamic Proof of Retrievability for Cold Storage. IACR Cryptol. ePrint Arch. 2022: 1417 (2022)
2010 – 2019
- 2019
- [c1]Pengzhi Huang, Oscar Castañeda
Improving Channel Charting with Representation -Constrained Autoencoders. SPAWC 2019: 1-5 - [i1]Pengzhi Huang, Oscar Castañeda, Emre Gönültas, Saïd Medjkouh, Olav Tirkkonen, Tom Goldstein, Christoph Studer:
Improving Channel Charting with Representation-Constrained Autoencoders. CoRR abs/1908.02878 (2019)
Coauthor Index
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last updated on 2024-09-10 01:13 CEST by the dblp team
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