Efficient Adversarial Training with Transferable Adversarial Examples

Adversarial training is an effective defense method to protect classification models against adversarial attacks. However, one limitation of this approach is that it can require orders of magnitude additional training time due to high cost of generating strong adversarial examples during training. I...

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Veröffentlicht in:	arXiv.org 2020-07
Hauptverfasser:	Zheng, Haizhong, Zhang, Ziqi, Gu, Juncheng, Lee, Honglak, Prakash, Atul
Format:	Artikel
Sprache:	eng
Schlagworte:	Robustness Training
Online-Zugang:	Volltext
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