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Robust and Information-theoretically Safe Bias Classifier against Adversarial Attacks

8 November 2021

Papers citing "Robust and Information-theoretically Safe Bias Classifier against Adversarial Attacks"

4 / 4 papers shown

Title
Achieve Optimal Adversarial Accuracy for Adversarial Deep Learning using Stackelberg Game Xiao-Shan Gao Shuang Liu Lijia Yu AAML 78 0 0 17 Jul 2022
Adversarial Parameter Attack on Deep Neural Networks Lijia Yu Yihan Wang Xiao-Shan Gao AAML 76 8 0 20 Mar 2022
The mathematics of adversarial attacks in AI -- Why deep learning is unstable despite the existence of stable neural networks Alexander Bastounis A. Hansen Verner Vlacic AAML OOD 105 28 0 13 Sep 2021
A Robust Classification-autoencoder to Defend Outliers and Adversaries Lijia Yu Xiao-Shan Gao AAML 70 2 0 30 Jun 2021