Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations
Author:
Affiliation:
1. National Tsing Hua University
2. Columbia University
3. IBM Research
Funder
Ministry of Science and Technology, Taiwan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10203532.pdf?arnumber=10203532
Reference50 articles.
1. Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers
2. Semantic Adversarial Examples
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