A Robust Framework for Adaptive Selection of Filter Ensembles to Detect Adversarial Inputs-Reference-Cited by-同舟云学术

A Robust Framework for Adaptive Selection of Filter Ensembles to Detect Adversarial Inputs

Published:2022-06 Issue: Volume: Page:
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Container-title:2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W)
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Author:

Roy Arunava¹,Dasgupta Dipankar¹

Affiliation:

1. The University of Memphis,Dept. of Computer Science,TN,USA,38152

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9833807/9833553/09833816.pdf?arnumber=9833816

Reference36 articles.

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3. Adversarial robustness toolbox v1.1.1;nicolae;CoRR,2018

4. Deepfool: a simple and accurate method to fool deep neural networks;moosavi-dezfooli;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2016

5. Generalizable adversarial examples detection based on bi-model decision mismatch;monteiro,2018

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