A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural
Networks

A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks

10 August 2023

Raffaele Casaburi

Alberto Marchisio

Maurizio Martina

Papers citing "A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks"

14 / 14 papers shown

Title
TREBUCHET: Fully Homomorphic Encryption Accelerator for Deep Computation David Cousins Y. Polyakov Ahmad Al Badawi M. French A. Schmidt ... Patrick Broderick M. Franusich Bo Zhang Zeming Cheng Massoud Pedram FedML 25 6 0 11 Apr 2023
LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor Alberto Viale Alberto Marchisio Maurizio Martina Guido Masera Mohamed Bennai 58 12 0 03 Aug 2022
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems Shail Dave Alberto Marchisio Muhammad Abdullah Hanif Amira Guesmi Aviral Shrivastava Ihsen Alouani Mohamed Bennai 52 14 0 18 Apr 2022
Efficient Training of Spiking Neural Networks with Temporally-Truncated Local Backpropagation through Time Wenzhe Guo M. Fouda A. Eltawil K. Salama 46 12 0 13 Dec 2021
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation Youngeun Kim Joshua Chough Priyadarshini Panda 83 81 0 14 Oct 2021
CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor Alberto Viale Alberto Marchisio Maurizio Martina Guido Masera Mohamed Bennai 70 45 0 01 Jul 2021
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Mohamed Bennai BDL 84 145 0 21 Dec 2020
Overfitting in adversarially robust deep learning Leslie Rice Eric Wong Zico Kolter 99 801 0 26 Feb 2020
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 283 8,883 0 25 Aug 2017
On Loss Functions for Deep Neural Networks in Classification Katarzyna Janocha Wojciech M. Czarnecki UQCV 72 551 0 18 Feb 2017
Towards the Science of Security and Privacy in Machine Learning Nicolas Papernot Patrick McDaniel Arunesh Sinha Michael P. Wellman AAML 81 474 0 11 Nov 2016
Training Deep Spiking Neural Networks using Backpropagation Junhaeng Lee T. Delbruck Michael Pfeiffer 90 945 0 31 Aug 2016
Cyclical Learning Rates for Training Neural Networks L. Smith ODL 202 2,529 0 03 Jun 2015
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 246 16,361 0 30 Apr 2014