Sparse Mixture Once-for-all Adversarial Training for Efficient in-situ Trade-off between Accuracy and Robustness of DNNs
Author:
Affiliation:
1. Intel Labs,San Diego,USA
2. University of Southern California,Los Angeles,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10094760.pdf?arnumber=10094760
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