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High-Resolution Convolutional Neural Networks on Homomorphically Encrypted Data via Sharding Ciphertexts
Recently, Deep Convolutional Neural Networks (DCNNs) including the ResNet-20 architecture have been privately evaluated on encrypted, low-resolution data with the Residue-Number-System Cheon-Kim-Kim-Song (RNS-CKKS) homomorphic encryption scheme.
Persistent Weak Interferer Detection in WiFi Networks: A Deep Learning Based Approach
In this paper, we explore the use of multiple deep learning techniques to detect weak interference in WiFi networks.
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