Artificial Intelligence, Technology, Conference, Iclr 2020, Neural Networks.
Given the empirical results discussed in papers 1 and 3, we see that neither proposes a more effective way to improve the robustness of neural networks — the state-of-the-art method is still adversarial training. Although some of the ‘side-products’, such as error calibration from JEMm are very