5 papers
Statistical Adversaries: Natural Backdoor-like Adversarial Features in Clean Vision Datasets
Paul K. Mandal, Pavan Reddy, Tristan Malatynski
Model-specific adversarial attacks have been extensively studied. We study a different failure mode: naturally occurring statistical signals in vision data that can behave as backd…
Controlled Territory and Conflict Tracking (CONTACT): (Geo-)Mapping Occupied Territory from Open Source Intelligence
Paul K. Mandal, Cole Leo, Connor Hurley
Open-source intelligence provides a stream of unstructured textual data that can inform assessments of territorial control. We present CONTACT, a framework for territorial control…
When is dataset cartography ineffective? Using training dynamics does not improve robustness against Adversarial SQuAD
Paul K. Mandal
In this paper, I investigate the effectiveness of dataset cartography for extractive question answering on the SQuAD dataset. I begin by analyzing annotation artifacts in SQuAD and…
A Distributed Privacy Preserving Model for the Detection of Alzheimer's Disease
Paul K. Mandal
In the era of rapidly advancing medical technologies, the segmentation of medical data has become inevitable, necessitating the development of privacy preserving machine learning a…
Horizontal Federated Computer Vision
Paul K. Mandal, Cole Leo, Connor Hurley
In the modern world, the amount of visual data recorded has been rapidly increasing. In many cases, data is stored in geographically distinct locations and thus requires a large am…