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03/25/2022
Gransformer: Transformer-based Graph Generation
Transformers have become widely used in modern models for various tasks ...
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11/05/2021
RC-RNN: Reconfigurable Cache Architecture for Storage Systems Using Recurrent Neural Networks
Solid-State Drives (SSDs) have significant performance advantages over t...
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02/01/2019
Privacy Against Brute-Force Inference Attacks
Privacy-preserving data release is about disclosing information about us...
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02/09/2018
Deep Private-Feature Extraction
We present and evaluate Deep Private-Feature Extractor (DPFE), a deep mo...
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10/04/2017
Privacy-Preserving Deep Inference for Rich User Data on The Cloud
Deep neural networks are increasingly being used in a variety of machine...
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03/08/2017
A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics
The increasing quality of smartphone cameras and variety of photo editin...
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10/26/2016
