HashVFL: Defending Against Data Reconstruction Attacks in Vertical Federated Learning-Reference-Cited by-同舟云学术

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HashVFL: Defending Against Data Reconstruction Attacks in Vertical Federated Learning

Published:2024 Issue: Volume:19 Page:3435-3450
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Qiu Pengyu¹^ORCID,Zhang Xuhong²^ORCID,Ji Shouling¹^ORCID,Fu Chong¹^ORCID,Yang Xing³,Wang Ting⁴^ORCID

Affiliation:

1. College of Computer Science and Technology, Zhejiang University, Hangzhou, China

2. School of Software Technology, Zhejiang University, Ningbo, China

3. Hefei Interdisciplinary Center, National University of Defense Technology, Hefei, China

4. College of Information Sciences and Technology, The Pennsylvania State University, State College, PA, USA

Funder

National Key Research and Development Program of China

NSFC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/10206/10319981/10409241.pdf?arnumber=10409241

Reference83 articles.

1. LIBSVM

2. Deep learning

3. Forex exchange rate forecasting using deep recurrent neural networks

4. Classification-based financial markets prediction using deep neural networks

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