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dc.date.accessioned2022-04-05T12:54:48Z
dc.date.available2022-04-05T12:54:48Z
dc.date.issued2022-04-05
dc.identifier.urihttps://hdl.handle.net/1721.1/141668
dc.description.abstractThe 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.en_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesThe Bulletin;
dc.rightsAttribution-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nd/3.0/us/*
dc.subjectLincoln Laboratoryen_US
dc.subjectMachine Learningen_US
dc.titleTechnology Office Announces Winners of the FoolMe Hackathonen_US
dc.typeArticleen_US


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