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Found 6 papers, 2 papers with code
Machine Learning Model Attribution Challenge
We present the findings of the Machine Learning Model Attribution Challenge.
APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection
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.
MITRE at SemEval-2019 Task 5: Transfer Learning for Multilingual Hate Speech Detection
This paper describes MITRE{'}s participation in SemEval-2019 Task 5, HatEval: Multilingual detection of hate speech against immigrants and women in Twitter.
MITRE at SemEval-2018 Task 11: Commonsense Reasoning without Commonsense Knowledge
This paper describes MITRE{'}s participation in SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge.
MITRE at SemEval-2017 Task 1: Simple Semantic Similarity
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.
