A Comprehensive and Credible Assessment Method for Model Adversarial Robustness under Modulated Signal Identification

Songlin Yang, Zhida Bao, Yun Lin 0005. A Comprehensive and Credible Assessment Method for Model Adversarial Robustness under Modulated Signal Identification. In 10th International Conference on Dependable Systems and Their Applications, DSA 2023, Tokyo, Japan, August 10-11, 2023. pages 296-301, IEEE, 2023. [doi]

Abstract

Abstract is missing.