31 citations · 33 across the 2 of their papers we have counts for
2 papers
cs.CR2021★ 31 cited
Enabling Homomorphically Encrypted Inference for Large DNN Models
Guillermo Lloret-Talavera, Marc Jorda, Harald Servat +5
The proliferation of machine learning services in the last few years has raised data privacy concerns. Homomorphic encryption (HE) enables inference using encrypted data but it inc…
cs.DC2021★ 2 cited
cuConv: A CUDA Implementation of Convolution for CNN Inference
Marc Jordà, Pedro Valero-Lara, Antonio J. Peña
Convolutions are the core operation of deep learning applications based on Convolutional Neural Networks (CNNs). Current GPU architectures are highly efficient for training and dep…