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cs.LG2018
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…
cs.LG2018
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…