A Best Paper Award for Christian Gagné and his research team at Canadian AI 2020
Christian Gagné, professor in the Department of Electrical and Computer Engineering and Director of IID (Institute Intelligence and Data), and his research team received a Best Paper Award this year during the Canadian Conference on Artificial Intelligence (Canadian AI 2020).
The research work of Ph.D. student Mahdieh Abbasi, described in the article “Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks”, was presented during this conference which took place online on May 13-15, 2020.
She collaborated with Ph.D. student Arezoo Rajabi and Professor Rakesh B. Bobba of Oregon State University to produce this article.
Building an Ensemble of Specialized Deep Neural Networks
To learn more, we invite you to watch this video in which Professor Gagné explains the proposed approach used to build an ensemble of specialized deep neural networks in order to improve their ability to detect malicious instances and increase the robustness of these models in their response to this type of attack.
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