Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks
Author:
Affiliation:
1. Colorado State University,Computer Science Department,Fort Collins,CO,USA
2. Colorado State University,Mathematics Department,Fort Collins,CO,USA
Funder
United States Air Force
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10020192/10020156/10020880.pdf?arnumber=10020880
Reference41 articles.
1. Locally linear attributes of ReLU neural networks;sattelberg,2020
2. Explaining and harnessing adversarial examples;goodfellow,2015
3. A Framework for the Construction of Upper Bounds on the Number of Affine Linear Regions of ReLU Feed-Forward Neural Networks
4. Adversarial robustness assessment: Why in evaluation both L0 and L∞ attacks are necessary
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