ASQ-FastBM3D: An Adaptive Denoising Framework for Defending Adversarial Attacks in Machine Learning Enabled Systems-Reference-Cited by-同舟云学术

ASQ-FastBM3D: An Adaptive Denoising Framework for Defending Adversarial Attacks in Machine Learning Enabled Systems

Author:

Xu Guangquan¹^ORCID,Han Zhengbo¹^ORCID,Gong Lixiao¹^ORCID,Jiao Litao¹,Bai Hongpeng¹^ORCID,Liu Shaoying²^ORCID,Zheng Xi³^ORCID

Affiliation:

1. School of Big Data, Huanghai University, Qingdao, China

2. Graduate School of Advanced Science and Engineering, Hiroshima University, Hiroshima, Japan

3. Department of Computing, Macquarie University, NSW, Australia

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Key Research and Development Program of Sichuan Province

Tianjin Intelligent Manufacturing Special Fund Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Safety, Risk, Reliability and Quality

Link

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