Represent! OU School of Computer Science Attends Artificial Intelligence Conference
In February, “Wind Prediction under Random Data Corruption” was showcased during the Conference on Artificial Intelligence (known as AAAI-22) sponsored by the Association for the Advancement of Artificial Intelligence. Over 40,000 researchers, practitioners, scientists and engineers took part in the virtual event Feb. 22-March 1.
The paper was co-authored by Diochnos’ former student Conner Flansburg (photo, on right) whose work was initially supported by the Research Experiences for Undergraduates program funded by the National Science Foundation.
"In this work, Mr. Flansburg showed experimentally that L1-regularization can be an effective defense mechanism for machine learning models that are used for regression and are subject to certain training-time attacks, thus complementing a similar property of L1-regularization that is known to hold in the literature regarding machine learning models that are used for classification purposes under test-time attacks," Diochnos said.