most citedReViVD: Exploration and Filtering of Trajectories in an Immersive Environment using 3D Shapes

11 citations · 20 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG20223 cited

A Machine Learning and Computer Vision Approach to Geomagnetic Storm Forecasting

Kyle Domico, Ryan Sheatsley, Yohan Beugin +2

Geomagnetic storms, disturbances of Earth's magnetosphere caused by masses of charged particles being emitted from the Sun, are an uncontrollable threat to modern technology. Notab…

cs.HC202211 cited

ReViVD: Exploration and Filtering of Trajectories in an Immersive Environment using 3D Shapes

François Homps, Yohan Beugin, Romain Vuillemot

We present ReViVD, a tool for exploring and filtering large trajectory-based datasets using virtual reality. ReViVD's novelty lies in using simple 3D shapes -- such as cuboids, sph…

cs.CR20226 cited

HoneyModels: Machine Learning Honeypots

Ahmed Abdou, Ryan Sheatsley, Yohan Beugin +2

Machine Learning is becoming a pivotal aspect of many systems today, offering newfound performance on classification and prediction tasks, but this rapid integration also comes wit…

cs.CR2022

Building a Privacy-Preserving Smart Camera System

Yohan Beugin, Quinn Burke, Blaine Hoak +5

Millions of consumers depend on smart camera systems to remotely monitor their homes and businesses. However, the architecture and design of popular commercial systems require user…

cs.CR2021

On the Robustness of Domain Constraints

Ryan Sheatsley, Blaine Hoak, Eric Pauley +3

Machine learning is vulnerable to adversarial examples-inputs designed to cause models to perform poorly. However, it is unclear if adversarial examples represent realistic inputs…