Depth, Breadth, and Complexity: Ways to Attack and Defend Deep Learning Models

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]

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