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Jul, 2022
通过正则化解开私有类
Disentangling private classes through regularization
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Enzo Tartaglione, Francesca Gennari, Marco Grangetto
TL;DR
本篇论文提出 DisP 方法,用于深度学习模型中隐私信息保护,通过去相关策略对同一个类别的特征解耦以保护隐私,实验证明其有效性。
Abstract
deep learning
models are nowadays broadly deployed to solve an incredibly large variety of tasks. However, little attention has been devoted to connected legal aspects. In 2016, the European Union approved the
general d
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