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On the Robustness of Randomized Ensembles to Adversarial Perturbations


Feb 06, 2023
Hassan Dbouk, Naresh R. Shanbhag

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Adversarial Vulnerability of Randomized Ensembles


Jun 14, 2022
Hassan Dbouk, Naresh R. Shanbhag

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* Published as a conference paper in ICML 2022 

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Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks


Nov 06, 2021
Hassan Dbouk, Naresh R. Shanbhag

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* NeurIPS 2021 (Spotlight) 

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Robustifying $\ell_\infty$ Adversarial Training to the Union of Perturbation Models


Jun 11, 2021
Ameya D. Patil, Michael Tuttle, Alexander G. Schwing, Naresh R. Shanbhag

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Fundamental Limits on Energy-Delay-Accuracy of In-memory Architectures in Inference Applications


Dec 25, 2020
Sujan Kumar Gonugondla, Charbel Sakr, Hassan Dbouk, Naresh R. Shanbhag

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* 14 pages, 13 figures 

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Energy-efficient Machine Learning in Silicon: A Communications-inspired Approach


Oct 25, 2016
Naresh R. Shanbhag

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* This paper was presented at the 2016 ICML Workshop on On-Device Intelligence, June 24, 2016 

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