11 citations · 18 across the 12 of their papers we have counts for
3 papers · 1 filter
Detection of Adversarial Attacks and Characterization of Adversarial Subspace
Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich
Adversarial attacks have always been a serious threat for any data-driven model. In this paper, we explore subspaces of adversarial examples in unitary vector domain, and we propos…
A Robust Approach for Securing Audio Classification Against Adversarial Attacks
Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich
Adversarial audio attacks can be considered as a small perturbation unperceptive to human ears that is intentionally added to the audio signal and causes a machine learning model t…
Unsupervised Feature Learning for Environmental Sound Classification Using Weighted Cycle-Consistent Generative Adversarial Network
Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich
In this paper we propose a novel environmental sound classification approach incorporating unsupervised feature learning from codebook via spherical -Means++ algorithm and a new…