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06/29/2023
Restore Translation Using Equivariant Neural Networks
Invariance to spatial transformations such as translations and rotations...
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07/17/2022
Achieve Optimal Adversarial Accuracy for Adversarial Deep Learning using Stackelberg Game
Adversarial deep learning is to train robust DNNs against adversarial at...
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03/20/2022
Adversarial Parameter Attack on Deep Neural Networks
In this paper, a new parameter perturbation attack on DNNs, called adver...
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11/08/2021
Robust and Information-theoretically Safe Bias Classifier against Adversarial Attacks
In this paper, the bias classifier is introduced, that is, the bias part...
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06/30/2021
A Robust Classification-autoencoder to Defend Outliers and Adversaries
In this paper, we present a robust classification-autoencoder (CAE) whic...
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10/10/2020
