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Shredder: Learning Noise Distributions to Protect Inference Privacy

ASPLOS '20: Architectural Support for Programming Languages and Operating Systems Lausanne ..., pp.3-18, (2020)

Cited by: 15|Views127
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Abstract

A wide variety of deep neural applications increasingly rely on the cloud to perform their compute-heavy inference. This common practice requires sending private and privileged data over the network to remote servers, exposing it to the service provider and potentially compromising its privacy. Even if the provider is trusted, the data ca...More

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Author
Fatemehsadat Mireshghallah
Fatemehsadat Mireshghallah
Prakash Ramrakhyani
Prakash Ramrakhyani
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