Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage
Author:
Affiliation:
1. University of Tennessee,Knoxville
2. Oak Ridge National Laboratory
3. Google Research
Funder
NSF
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9878378/9878366/09878452.pdf?arnumber=9878452
Reference56 articles.
1. Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation
2. Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning
3. Understanding deep image representations by inverting them
4. Federated Learning for Open Banking
5. Deep Learning Face Attributes in the Wild
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