Toward Learning Robust Detectors from Imbalanced Datasets Leveraging Weighted Adversarial Training

Kento Hasegawa, Seira Hidano, Shinsaku Kiyomoto, Nozomu Togawa. Toward Learning Robust Detectors from Imbalanced Datasets Leveraging Weighted Adversarial Training. In Mauro Conti, Marc Stevens 0001, Stephan Krenn, editors, Cryptology and Network Security - 20th International Conference, CANS 2021, Vienna, Austria, December 13-15, 2021, Proceedings. Volume 13099 of Lecture Notes in Computer Science, pages 392-411, Springer, 2021. [doi]

Authors

Kento Hasegawa

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Seira Hidano

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Shinsaku Kiyomoto

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Nozomu Togawa

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