BriefGPT.xyz
Jan, 2019
AnomiGAN:用于匿名化私人医疗数据的生成对抗网络
AnomiGAN: Generative adversarial networks for anonymizing private medical data
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Ho Bae, Dahuin Jung, Sungroh Yoon
TL;DR
本文提出了一种名为AnomiGAN的框架,该框架使用生成对抗网络来可靠地保护个人医疗数据的隐私,同时保持高预测性能,并展示了其在机器学习中的实用性。
Abstract
Typical
personal medical data
contains sensitive information about individuals. Storing or sharing the
personal medical data
is thus often risky. For example, a short DNA sequence can provide information that can
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