On the Coarse Robustness of Classifiers-Reference-Cited by-同舟云学术

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On the Coarse Robustness of Classifiers

Published:2022-10-31 Issue: Volume: Page:
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Container-title:2022 56th Asilomar Conference on Signals, Systems, and Computers
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Author:

Alkhouri Ismail R.¹,Bak Stanley²,Velasquez Alvaro³,Atia George K.¹

Affiliation:

1. University of Central Florida,Department of Electrical and Computer Engineering,Orlando,FL,USA

2. Stony Brook University,Department of Computer Science,Stony Brook,NY,USA

3. Information Innovation Office, Defense Advanced Research Projects Agency,Arlington,VA,USA

Funder

NSF

DOE

AFRL

AFOSR

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10051833/10051818/10051990.pdf?arnumber=10051990

Reference13 articles.

1. Adversarial Examples in the Physical World

2. Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms;xiao;ArXiv Preprint,2017

3. Towards Evaluating the Robustness of Neural Networks

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Non-Targeted Attack Approach for the Coarse Misclassification Problem;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

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