Avoiding Robust Misclassifications for Improved Robustness without Accuracy Loss

no code implementations • 29 Sep 2021 • Yannick Merkli, Pavol Bielik, Petar Tsankov, Martin Vechev

Our results show that our method effectively reduces robust and inaccurate samples by up to 97. 28%.