8 citations · 13 across the 8 of their papers we have counts for
8 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…
Vertical Federated Image Segmentation
Paul K. Mandal, Cole Leo
With the popularization of AI solutions for image based problems, there has been a growing concern for both data privacy and acquisition. In a large number of cases, information is…
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…
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…
An FNet based Auto Encoder for Long Sequence News Story Generation
Paul K. Mandal, Rakeshkumar Mahto
In this paper, we design an auto encoder based off of Google's FNet Architecture in order to generate text from a subset of news stories contained in Google's C4 dataset. We discus…
Deep Multi-Branch CNN Architecture for Early Alzheimer's Detection from Brain MRIs
Paul K. Mandal, Rakesh Mahto
Alzheimer's disease (AD) is a neuro-degenerative disease that can cause dementia and result severe reduction in brain function inhibiting simple tasks especially if no preventative…