Gradient Similarity: An Explainable Approach to Detect Adversarial Attacks against Deep Learning
Principled Uncertainty Estimation for Deep Neural Networks
To Trust Or Not To Trust A Classifier
HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples
Adversarially Robust Generalization Requires More Data
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods