research
∙
04/08/2023
RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks
Capsule Networks (CapsNets) are able to hierarchically preserve the pose...
share
research
∙
03/14/2023
ISimDL: Importance Sampling-Driven Acceleration of Fault Injection Simulations for Evaluating the Robustness of Deep Learning
Deep Learning (DL) systems have proliferated in many applications, requi...
research
∙
07/31/2022
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks
Research on Deep Neural Networks (DNNs) has focused on improving perform...
research
∙
06/01/2022
NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks
The advancements of deep neural networks (DNNs) have led to their deploy...
research
∙
12/09/2020
MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences
Embedded systems have proliferated in various consumer and industrial ap...
research
∙
04/15/2020
Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks
Capsule Networks (CapsNets), recently proposed by the Google Brain team,...
research
∙
05/24/2019
