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02/26/2022
Neuro-Inspired Deep Neural Networks with Sparse, Strong Activations
While end-to-end training of Deep Neural Networks (DNNs) yields state of...
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02/07/2022
Self-supervised Speaker Recognition Training Using Human-Machine Dialogues
Speaker recognition, recognizing speaker identities based on voice alone...
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12/04/2021
Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing
Machine learning models are known to be susceptible to adversarial attac...
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04/12/2021
Sparse Coding Frontend for Robust Neural Networks
Deep Neural Networks are known to be vulnerable to small, adversarially ...
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11/21/2020
A Neuro-Inspired Autoencoding Defense Against Adversarial Perturbations
Deep Neural Networks (DNNs) are vulnerable to adversarial attacks: caref...
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11/16/2020
Adversarially Robust Classification based on GLRT
Machine learning models are vulnerable to adversarial attacks that can o...
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02/25/2020
Robust Wireless Fingerprinting: Generalizing Across Space and Time
Can we distinguish between two wireless transmitters sending exactly the...
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02/22/2020
Polarizing Front Ends for Robust CNNs
The vulnerability of deep neural networks to small, adversarially design...
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05/19/2019
Robust Wireless Fingerprinting via Complex-Valued Neural Networks
A "wireless fingerprint" which exploits hardware imperfections unique to...
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10/24/2018
Toward Robust Neural Networks via Sparsification
It is by now well-known that small adversarial perturbations can induce ...
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03/11/2018
Combating Adversarial Attacks Using Sparse Representations
It is by now well-known that small adversarial perturbations can induce ...
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03/09/2018
On the information in spike timing: neural codes derived from polychronous groups
There is growing evidence regarding the importance of spike timing in ne...
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03/07/2018
Distributed Base Station: A Concept System for Long-Range Broadband Wireless Access
We propose a concept system termed distributed base station (DBS), which...
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01/15/2018
Sparsity-based Defense against Adversarial Attacks on Linear Classifiers
Deep neural networks represent the state of the art in machine learning ...
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09/28/2015