D2R: Dual Regularization Loss with Collaborative Adversarial Generation for Model Robustness

The robustness of Deep Neural Network models is crucial for defending models against adversarial attacks. Recent defense methods have employed collaborative learning frameworks to enhance model robustness. Two key limitations of existing methods are i insufficient guidance of the target model via...