@inproceedings{5ec8969da31a41cf9465701e1e9a35e1,
title = "Mitigating Overfitting Using Regularization to Defend Networks Against Adversarial Examples",
author = "Yoshimasa Kubo and Thomas Trappenberg",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019 ; Conference date: 28-05-2019 Through 31-05-2019",
year = "2019",
doi = "10.1007/978-3-030-18305-9_36",
language = "English",
isbn = "9783030183042",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "400--405",
editor = "Marie-Jean Meurs and Frank Rudzicz",
booktitle = "Advances in Artificial Intelligence - 32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019, Proceedings",
address = "Germany",
}