3 papers
cs.LG2019
Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding
Utku Ozbulak, Arnout Van Messem, Wesley De Neve
Detecting adversarial examples currently stands as one of the biggest challenges in the field of deep learning. Adversarial attacks, which produce adversarial examples, increase th…
cs.LG2018
How the Softmax Output is Misleading for Evaluating the Strength of Adversarial Examples
Utku Ozbulak, Wesley De Neve, Arnout Van Messem
Even before deep learning architectures became the de facto models for complex computer vision tasks, the softmax function was, given its elegant properties, already used to analyz…
cs.CL2018
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?
Fréderic Godin, Kris Demuynck, Joni Dambre +2
Character-level features are currently used in different neural network-based natural language processing algorithms. However, little is known about the character-level patterns th…