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01/29/2019
CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images
Convolutional neural networks (CNNs) have enabled significant performanc...
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12/06/2018
Adversarially Learned Anomaly Detection
Anomaly detection is a significant and hence well-studied problem. Howev...
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11/29/2018
TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks
Embedded deep learning platforms have witnessed two simultaneous improve...
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11/15/2018
Graph Convolutional Neural Networks for Polymers Property Prediction
A fast and accurate predictive tool for polymer properties is demanding ...
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11/02/2018
The AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs
Fully homomorphic encryption, with its widely-known feature of computing...
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02/17/2018