1 citations · 1 across the 3 of their papers we have counts for
3 papers
On Robust Learning from Noisy Labels: A Permutation Layer Approach
Salman Alsubaihi, Mohammed Alkhrashi, Raied Aljadaany +2
The existence of label noise imposes significant challenges (e.g., poor generalization) on the training process of deep neural networks (DNN). As a remedy, this paper introduces a…
Network Moments: Extensions and Sparse-Smooth Attacks
Modar Alfadly, Adel Bibi, Emilio Botero +2
The impressive performance of deep neural networks (DNNs) has immensely strengthened the line of research that aims at theoretically analyzing their effectiveness. This has incited…
Expected Tight Bounds for Robust Training
Salman Alsubaihi, Adel Bibi, Modar Alfadly +2
Training Deep Neural Networks that are robust to norm bounded adversarial attacks remains an elusive problem. While exact and inexact verification-based methods are generally too e…