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09/19/2021
On the Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars
Applications based on Deep Neural Networks (DNNs) have grown exponential...
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08/27/2020
Robustness Hidden in Plain Sight: Can Analog Computing Defend Against Adversarial Attacks?
The ever-increasing computational demand of Deep Learning has propelled ...
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06/04/2019
PCA-driven Hybrid network design for enabling Intelligence at the Edge
The recent advent of IOT has increased the demand for enabling AI-based ...
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05/24/2019
Synthesizing Images from Spatio-Temporal Representations using Spike-based Backpropagation
Spiking neural networks (SNNs) offer a promising alternative to current ...
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02/01/2019
Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge
The recent advent of `Internet of Things' (IOT) has increased the demand...
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02/15/2018
