1 citations · 1 across the 3 of their papers we have counts for
3 papers
Practical Adversarial Attacks Against AI-Driven Power Allocation in a Distributed MIMO Network
Ömer Faruk Tuna, Fehmi Emre Kadan, Leyli Karaçay
In distributed multiple-input multiple-output (D-MIMO) networks, power control is crucial to optimize the spectral efficiencies of users and max-min fairness (MMF) power control is…
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples
Omer Faruk Tuna, Ferhat Ozgur Catak, M. Taner Eskil
Deep neural network architectures are considered to be robust to random perturbations. Nevertheless, it was shown that they could be severely vulnerable to slight but carefully cra…
Closeness and Uncertainty Aware Adversarial Examples Detection in Adversarial Machine Learning
Omer Faruk Tuna, Ferhat Ozgur Catak, M. Taner Eskil
While state-of-the-art Deep Neural Network (DNN) models are considered to be robust to random perturbations, it was shown that these architectures are highly vulnerable to delibera…