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Backdoor Attack and Defense in Federated Generative Adversarial Network-based Medical Image Synthesis. (arXiv:2210.10886v2 [cs.CV] UPDATED)
Nov. 28, 2022, 2:10 a.m. | Ruinan Jin, Xiaoxiao Li
cs.CR updates on arXiv.org arxiv.org
Deep Learning-based image synthesis techniques have been applied in
healthcare research for generating medical images to support open research and
augment medical datasets. Training generative adversarial neural networks
(GANs) usually require large amounts of training data. Federated learning (FL)
provides a way of training a central model using distributed data while keeping
raw data locally. However, given that the FL server cannot access the raw data,
it is vulnerable to backdoor attacks, an adversarial by poisoning training
data. Most backdoor …
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