AI Security for Geoscience and Remote Sensing: Challenges and future trends-Reference-Cited by-同舟云学术

AI Security for Geoscience and Remote Sensing: Challenges and future trends

Author:

Xu Yonghao¹^ORCID,Bai Tao²^ORCID,Yu Weikang³^ORCID,Chang Shizhen¹^ORCID,Atkinson Peter M.⁴^ORCID,Ghamisi Pedram⁵^ORCID

Affiliation:

1. Institute of Advanced Research in Artificial Intelligence, Vienna, Austria

2. Nanyang Technological University, Singapore

3. Helmholtz Institute Freiberg for Resource Technology, Helmholtz–Zentrum Dresden–Rossendorf, Freiberg, Germany

4. University of Southampton, Southampton, U.K.

5. Helmholtz–Zentrum Dresden–Rossendorf, Freiberg, Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,General Earth and Planetary Sciences,Instrumentation,General Computer Science

Link

Reference157 articles.

1. Is feature selection secure against training data poisoning?;xiao;Proc Int Conf Mach Learn,0

4. BadNets: Identifying vulnerabilities in the machine learning model supply chain;gu,2017

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