Firuz Juraev, Eldor Abdukhamidov, Mohammed Abuhamad, Tamer AbuHmed. Depth, Breadth, and Complexity: Ways to Attack and Defend Deep Learning Models. In Yuji Suga, Kouichi Sakurai, Xuhua Ding, Kazue Sako, editors, ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022 - 3 June 2022. pages 1207-1209, ACM, 2022. [doi]
@inproceedings{JuraevAAA22,
title = {Depth, Breadth, and Complexity: Ways to Attack and Defend Deep Learning Models},
author = {Firuz Juraev and Eldor Abdukhamidov and Mohammed Abuhamad and Tamer AbuHmed},
year = {2022},
doi = {10.1145/3488932.3527278},
url = {https://doi.org/10.1145/3488932.3527278},
researchr = {https://researchr.org/publication/JuraevAAA22},
cites = {0},
citedby = {0},
pages = {1207-1209},
booktitle = {ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022 - 3 June 2022},
editor = {Yuji Suga and Kouichi Sakurai and Xuhua Ding and Kazue Sako},
publisher = {ACM},
isbn = {978-1-4503-9140-5},
}