Empirical Evaluation on Robustness of Deep Convolutional Neural Networks Activation Functions Against Adversarial Perturbation. Su, J., Vargas, D. V., & Sakurai, K. In Sixth International Symposium on Computing and Networking, CANDAR Workshops 2018, Takayama, Japan, November 27-30, 2018, pages 223–227, 2018. IEEE Computer Society. ![Empirical Evaluation on Robustness of Deep Convolutional Neural Networks Activation Functions Against Adversarial Perturbation [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi bibtex @inproceedings{DBLP:conf/ic-nc/SuVS18,
author = {Jiawei Su and
Danilo Vasconcellos Vargas and
Kouichi Sakurai},
title = {Empirical Evaluation on Robustness of Deep Convolutional Neural Networks
Activation Functions Against Adversarial Perturbation},
booktitle = {Sixth International Symposium on Computing and Networking, {CANDAR}
Workshops 2018, Takayama, Japan, November 27-30, 2018},
pages = {223--227},
publisher = {{IEEE} Computer Society},
year = {2018},
url = {https://doi.org/10.1109/CANDARW.2018.00049},
doi = {10.1109/CANDARW.2018.00049},
timestamp = {Fri, 24 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/ic-nc/SuVS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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