APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection

1 code implementation • ECCV 2020 • A. Braunegg, Amartya Chakraborty, Michael Krumdick, Nicole Lape, Sara Leary, Keith Manville, Elizabeth Merkhofer, Laura Strickhart, Matthew Walmer

Physical adversarial attacks threaten to fool object detection systems, but reproducible research on the real-world effectiveness of physical patches and how to defend against them requires a publicly available benchmark dataset.

Adversarial Robustness Density Estimation +2

Scalable Methods for Annotating Legal-Decision Corpora

no code implementations • WS 2019 • Lisa Ferro, John Aberdeen, Karl Branting, Craig Pfeifer, Alex Yeh, er, Amartya Chakraborty

Recent research has demonstrated that judicial and administrative decisions can be predicted by machine-learning models trained on prior decisions.