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

MITRE at SemEval-2018 Task 11: Commonsense Reasoning without Commonsense Knowledge

no code implementations • SEMEVAL 2018 • Elizabeth Merkhofer, John Henderson, David Bloom, Laura Strickhart, Guido Zarrella

This paper describes MITRE{'}s participation in SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge.

Common Sense Reasoning Information Retrieval +2

MITRE at SemEval-2017 Task 1: Simple Semantic Similarity

no code implementations • SEMEVAL 2017 • John Henderson, Elizabeth Merkhofer, Laura Strickhart, Guido Zarrella

This paper describes MITRE{'}s participation in the Semantic Textual Similarity task (SemEval-2017 Task 1), which evaluated machine learning approaches to the identification of similar meaning among text snippets in English, Arabic, Spanish, and Turkish.

BIG-bench Machine Learning Image Captioning +6

MITRE: Seven Systems for Semantic Similarity in Tweets

no code implementations • SEMEVAL 2015 • Guido Zarrella, John Henderson, Elizabeth M. Merkhofer, Laura Strickhart

Information Retrieval Machine Translation +3