3 citations · 6 across the 3 of their papers we have counts for
3 papers · 1 filter
Adversarial Risk Bounds for Neural Networks through Sparsity based Compression
Emilio Rafael Balda, Arash Behboodi, Niklas Koep +1
Neural networks have been shown to be vulnerable against minor adversarial perturbations of their inputs, especially for high dimensional data under attacks. To comba…
Perturbation Analysis of Learning Algorithms: A Unifying Perspective on Generation of Adversarial Examples
Emilio Rafael Balda, Arash Behboodi, Rudolf Mathar
Despite the tremendous success of deep neural networks in various learning problems, it has been observed that adding an intentionally designed adversarial perturbation to inputs o…
On Generation of Adversarial Examples using Convex Programming
Emilio Rafael Balda, Arash Behboodi, Rudolf Mathar
It has been observed that deep learning architectures tend to make erroneous decisions with high reliability for particularly designed adversarial instances. In this work, we show…