3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 3 cited
Core Risk Minimization using Salient ImageNet
Sahil Singla, Mazda Moayeri, Soheil Feizi
Deep neural networks can be unreliable in the real world especially when they heavily use spurious features for their predictions. Recently, Singla & Feizi (2022) introduced the Sa…
cs.CV2022★ 2 cited
A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes
Mazda Moayeri, Phillip Pope, Yogesh Balaji +1
While datasets with single-label supervision have propelled rapid advances in image classification, additional annotations are necessary in order to quantitatively assess how model…
cs.CR2021
Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings
Mazda Moayeri, Soheil Feizi
Adversarial robustness of deep models is pivotal in ensuring safe deployment in real world settings, but most modern defenses have narrow scope and expensive costs. In this paper,…