5 citations · 16 across the 14 of their papers we have counts for
4 papers · 1 filter
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…
Learning the Localization Function: Machine Learning Approach to Fingerprinting Localization
Linchen Xiao, Arash Behboodi, Rudolf Mathar
Considered as a data-driven approach, Fingerprinting Localization Solutions (FPSs) enjoy huge popularity due to their good performance and minimal environment information requireme…
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…
Sum Secrecy Rate Maximization in a Multi-Carrier MIMO Wiretap Channel with Full-Duplex Jamming
Tianyu Yang, Omid Taghizadeh, Rudolf Mathar
In this paper we address a sum secrecy rate maximization problem for a multi-carrier and MIMO communication system. We consider the case that the receiver is capable of full-duplex…