7 papers
Detection of Adversarial Attacks on Super-Resolvers Using Spectral Features
Emma J. Reid, Haley Duba-Sullivan, Tony G. Allen
The integration of deep learning models into image preprocessing pipelines such as super-resolution introduces a largely unexplored attack vector for adversaries targeting downstre…
Deep Pseudo-Proximal Map: A Self-Supervised Data-Fitting Agent for Iterative Reconstruction
Haley Duba-Sullivan, Emma J. Reid, Charles A. Bouman +1
Iterative algorithms for inverse imaging problems split reconstruction into alternating subproblems, one of which requires evaluating the data-fitting proximal map. In many practic…
Efficient Computing for Medical Image Acquisition and Reconstruction
Xiao Wang, Jayasai Rajagopal, Md Safaiat Hossain +4
Medical imaging systems such as CT, MRI, PET, and SPECT do not directly acquire images. Instead, they measure physical signals that encode anatomical or physiological information,…
Modality vs. Morphology: A Framework for Time Series Classification for Biological Signals
Jordan Tschida, Matthew Yohe, Edward Kane +10
Time series classification (TSC) of biological signals has progressed from handcrafted, modality-specific approaches to deep architectures capable of representing the diverse wavef…
The Double-Edged Sword of Data-Driven Super-Resolution: Adversarial Super-Resolution Models
Haley Duba-Sullivan, Steven R. Young, Emma J. Reid
Data-driven super-resolution (SR) methods are often integrated into imaging pipelines as preprocessing steps to improve downstream tasks such as classification and detection. Howev…
Destabilizing a Social Network Model via Intrinsic Feedback Vulnerabilities
Lane H. Rogers, Emma J. Reid, Robert A. Bridges
Social influence plays a significant role in shaping individual sentiments and actions, particularly in a world of ubiquitous digital interconnection. The rapid development of gene…
ResSR: A Computationally Efficient Residual Approach to Super-Resolving Multispectral Images
Haley Duba-Sullivan, Emma J. Reid, Sophie Voisin +2
Multispectral imaging (MSI) plays a critical role in material classification, environmental monitoring, and remote sensing. However, MSI sensors typically have wavelength-dependent…