Dynamic Efficient Adversarial Training Guided by Gradient Magnitude

Adversarial training is an effective but time-consuming way to train robust deep neural networks that can withstand strong adversarial attacks. As a response to its inefficiency, we propose Dynamic Efficient Adversarial Training (DEAT), which gradually increases the adversarial iteration during trai...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Wang, Fu, Zhang, Yanghao, Zheng, Yanbin, Ruan, Wenjie
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Cryptography and Security Computer Science - Learning
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!