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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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09/14/2021
Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems
The ubiquitous use of IoT and machine learning applications is creating ...
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06/23/2021
NAX: Co-Designing Neural Network and Hardware Architecture for Memristive Xbar based Computing Systems
In-Memory Computing (IMC) hardware using Memristive Crossbar Arrays (MCA...
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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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05/21/2020
Conditionally Deep Hybrid Neural Networks Across Edge and Cloud
The pervasiveness of "Internet-of-Things" in our daily life has led to a...
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03/27/2020
IMAC: In-memory multi-bit Multiplication andACcumulation in 6T SRAM Array
`In-memory computing' is being widely explored as a novel computing para...
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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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02/08/2019
Discretization based Solutions for Secure Machine Learning against Adversarial Attacks
Adversarial examples are perturbed inputs that are designed (from a deep...
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02/01/2019
