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02/02/2023
On the Robustness of Randomized Ensembles to Adversarial Perturbations
Randomized ensemble classifiers (RECs), where one classifier is randomly...
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06/14/2022
Adversarial Vulnerability of Randomized Ensembles
Despite the tremendous success of deep neural networks across various ta...
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10/28/2021
Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks
Despite their tremendous successes, convolutional neural networks (CNNs)...
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05/31/2021
Robustifying ℓ_∞ Adversarial Training to the Union of Perturbation Models
Classical adversarial training (AT) frameworks are designed to achieve h...
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12/25/2020
Fundamental Limits on Energy-Delay-Accuracy of In-memory Architectures in Inference Applications
This paper obtains fundamental limits on the computational precision of ...
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10/25/2016