Adversarial robustness assessment: Why in evaluation both L0 and L∞ attacks are necessary

Title
Adversarial robustness assessment: Why in evaluation both L0 and L∞ attacks are necessary
Authors
Keywords
Neural networks, Optimization, Behavior, Machine learning, Machine learning algorithms, Computer architecture, Learning, Algorithms
Journal
PLoS One
Volume 17, Issue 4, Pages e0265723
Publisher
Public Library of Science (PLoS)
Online
2022-04-15
DOI
10.1371/journal.pone.0265723

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