Image Disguising for Protecting Data and Model Confidentiality in Outsourced Deep Learning

2021 IEEE 14th International Conference on Cloud Computing (CLOUD)(2021)

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摘要
Large training data and expensive model tweaking are common features of deep learning development for images. As a result, data owners often utilize cloud resources or machine learning service providers for developing large-scale complex models. This practice, however, raises serious privacy concerns. Existing solutions are either too expensive to be practical, or do not sufficiently protect the c...
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关键词
Deep learning,Training,Cloud computing,Privacy,Computational modeling,Training data,Data models
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