Visual Object Detection for Privacy-Preserving Federated Learning
Author:
Affiliation:
1. Shanghai Film Academy, Shanghai University, Shanghai, China
2. School of Cyber Science and Engineering, Wuhan University, Wuhan, China
Funder
Shanghai Film Academy, Shanghai University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10089464.pdf?arnumber=10089464
Reference45 articles.
1. ML-leaks: Model and data independent membership inference attacks and defenses on machine learning models;salem;arXiv 1806 01246,2018
2. Differential Privacy: A Survey of Results
3. Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning
4. Privacy-Preserving Weighted Federated Learning Within the Secret Sharing Framework
5. IPFS—Content addressed, versioned, P2P file system;benet;arXiv 1407 3561,2014
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