208 citations · 448 across the 32 of their papers we have counts for
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Adversarial Phenomenon in the Eyes of Bayesian Deep Learning
Ambrish Rawat, Martin Wistuba, Maria-Irina Nicolae
Deep Learning models are vulnerable to adversarial examples, i.e.\ images obtained via deliberate imperceptible perturbations, such that the model misclassifies them with high conf…
Efficient Defenses Against Adversarial Attacks
Valentina Zantedeschi, Maria-Irina Nicolae, Ambrish Rawat
Following the recent adoption of deep neural networks (DNN) accross a wide range of applications, adversarial attacks against these models have proven to be an indisputable threat.…
Open-World Visual Recognition Using Knowledge Graphs
Vincent P. A. Lonij, Ambrish Rawat, Maria-Irina Nicolae
In a real-world setting, visual recognition systems can be brought to make predictions for images belonging to previously unknown class labels. In order to make semantically meanin…
Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training
Mathieu Sinn, Ambrish Rawat
Generative Adversarial Networks (GANs) have become a widely popular framework for generative modelling of high-dimensional datasets. However their training is well-known to be diff…