Search Results for author: Yohan Beugin

Found 4 papers, 1 papers with code

HoneyModels: Machine Learning Honeypots

no code implementations21 Feb 2022 Ahmed Abdou, Ryan Sheatsley, Yohan Beugin, Tyler Shipp, Patrick McDaniel

To harden these systems the ever-growing field of Adversarial Machine Learning has proposed new attack and defense mechanisms.

BIG-bench Machine Learning Computational Efficiency

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

1 code implementation21 Feb 2022 François Homps, Yohan Beugin, Romain Vuillemot

We present ReViVD, a tool for exploring and filtering large trajectory-based datasets using virtual reality.

On the Robustness of Domain Constraints

no code implementations18 May 2021 Ryan Sheatsley, Blaine Hoak, Eric Pauley, Yohan Beugin, Michael J. Weisman, Patrick McDaniel

Machine learning is vulnerable to adversarial examples-inputs designed to cause models to perform poorly.

valid

Cannot find the paper you are looking for? You can Submit a new open access paper.