Technology Office Announces Winners of the FoolMe Hackathon
The MIT Lincoln Laboratory Technology Office wrapped up the FoolMe Challenge, a hackathon that was part of the Laboratory’s ongoing effort to observe trends in the manipulation of information, anticipate the broader implications to national security, and develop mitigation strategies. Teams worke...
Format: | Article |
---|---|
Language: | en_US |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/1721.1/141668 |
_version_ | 1811070812191457280 |
---|---|
collection | MIT |
description | The MIT Lincoln Laboratory Technology Office wrapped up the FoolMe Challenge, a hackathon that was part of the Laboratory’s ongoing effort to observe trends in the manipulation of information, anticipate the broader implications to national security, and develop mitigation strategies.
Teams worked to develop new methods of detecting manipulated images in six datasets that had been modified using different data poisoning techniques. The teams were judged based on the correct identification of manipulated images and the novelty of their problem-solving approach. |
first_indexed | 2024-09-23T08:42:00Z |
format | Article |
id | mit-1721.1/141668 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T08:42:00Z |
publishDate | 2022 |
record_format | dspace |
spelling | mit-1721.1/1416682022-04-06T03:39:23Z Technology Office Announces Winners of the FoolMe Hackathon Lincoln Laboratory Machine Learning The MIT Lincoln Laboratory Technology Office wrapped up the FoolMe Challenge, a hackathon that was part of the Laboratory’s ongoing effort to observe trends in the manipulation of information, anticipate the broader implications to national security, and develop mitigation strategies. Teams worked to develop new methods of detecting manipulated images in six datasets that had been modified using different data poisoning techniques. The teams were judged based on the correct identification of manipulated images and the novelty of their problem-solving approach. 2022-04-05T12:54:48Z 2022-04-05T12:54:48Z 2022-04-05 Article https://hdl.handle.net/1721.1/141668 en_US The Bulletin; Attribution-NoDerivs 3.0 United States http://creativecommons.org/licenses/by-nd/3.0/us/ application/pdf |
spellingShingle | Lincoln Laboratory Machine Learning Technology Office Announces Winners of the FoolMe Hackathon |
title | Technology Office Announces Winners of the FoolMe Hackathon |
title_full | Technology Office Announces Winners of the FoolMe Hackathon |
title_fullStr | Technology Office Announces Winners of the FoolMe Hackathon |
title_full_unstemmed | Technology Office Announces Winners of the FoolMe Hackathon |
title_short | Technology Office Announces Winners of the FoolMe Hackathon |
title_sort | technology office announces winners of the foolme hackathon |
topic | Lincoln Laboratory Machine Learning |
url | https://hdl.handle.net/1721.1/141668 |