Sep 21, 2020 � In this paper, we propose adversarial training with Stochastic weight average (SWA); while performing adversarial training, we aggregate the�...
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We adopt stochastic weight average methods and improve it by considering overfitting nature of adversarial training.
This work adopts stochastic weight average methods and improves it by considering overfitting nature of adversarial training, taking the benefit of ensemble�...
Although adversarial training is the most reliable method to train robust deep neural networks so far, adversarially trained networks still show large gap�...
Sep 9, 2024 � In this paper, we propose adversarial training with Stochastic weight average (SWA); while performing adversarial training, we aggregate the�...
Sep 21, 2020 � In this paper, we propose adversarial training with Stochastic weight average (SWA); while performing adversarial train- ing, we aggregate the�...
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Sep 21, 2020 � In this paper, we propose adversarial training with Stochastic weight average (SWA); while performing adversarial training, we aggregate the�...
In other words, the key aspects of adversarial training is incorporate a strong attack into the inner maximization procedure. And projected gradient descent�...
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The de facto method to increase adversarial robustness is to train neural networks with a mixture of adversarial images and unperturbed images.
Prior works [14] show that Stochastic Weight Averaging (SWA) can be used to train networks with flatter and wider minima to obtain improved generalisation�...