2019
Improving Adversarial Robustness via Guided Complement Entropy
ICCV 2019poster
Adversarial robustness has emerged as an important topic in deep learning as carefully crafted attack samples can significantly disturb the performance of a model. Many recent methods have proposed to improve adversarial robustness by utilizing adversarial training or model distillation, which adds…