1 citations · 1 across the 6 of their papers we have counts for
7 papers
ARMOR: Robust and Efficient CNN-Based SAR ATR through Model-Hardware Co-Design
Sachini Wickramasinghe, Tian Ye, Cauligi Raghavendra +1
Convolutional Neural Networks (CNNs) have achieved state-of-the-art accuracy in Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR). However, their high computational…
ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning
Dhruv Parikh, Jacob Fein-Ashley, Tian Ye +2
Convolutional Neural Networks (CNN) and Vision Transformers (ViT) have dominated the field of Computer Vision (CV). Graph Neural Networks (GNN) have performed remarkably well acros…
Adversarial Training in Low-Label Regimes with Margin-Based Interpolation
Tian Ye, Rajgopal Kannan, Viktor Prasanna
Adversarial training has emerged as an effective approach to train robust neural network models that are resistant to adversarial attacks, even in low-label regimes where labeled d…
FACTUAL: A Novel Framework for Contrastive Learning Based Robust SAR Image Classification
Xu Wang, Tian Ye, Rajgopal Kannan +1
Deep Learning (DL) Models for Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR), while delivering improved performance, have been shown to be quite vulnerable to ad…
Uncertainty-Aware SAR ATR: Defending Against Adversarial Attacks via Bayesian Neural Networks
Tian Ye, Rajgopal Kannan, Viktor Prasanna +1
Adversarial attacks have demonstrated the vulnerability of Machine Learning (ML) image classifiers in Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) systems. An…
Benchmarking Deep Learning Classifiers for SAR Automatic Target Recognition
Jacob Fein-Ashley, Tian Ye, Rajgopal Kannan +2
Synthetic Aperture Radar SAR Automatic Target Recognition ATR is a key technique of remote-sensing image recognition which can be supported by deep neural networks The existing wor…
Realistic Scatterer Based Adversarial Attacks on SAR Image Classifiers
Tian Ye, Rajgopal Kannan, Viktor Prasanna +2
Adversarial attacks have highlighted the vulnerability of classifiers based on machine learning for Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) tasks. An adve…