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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...
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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...
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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...
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06/01/2022
NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks
The advancements of deep neural networks (DNNs) have led to their deploy...
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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...
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04/15/2020
Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks
Capsule Networks (CapsNets), recently proposed by the Google Brain team,...
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05/24/2019