Detect and defense against adversarial examples in deep learning using natural scene statistics and adaptive denoising
Crossref DOI link: https://doi.org/10.1007/s00521-021-06330-x
Published Online: 2021-07-21
Published Print: 2022-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Kherchouche, Anouar
Fezza, Sid Ahmed https://orcid.org/0000-0001-6453-8588
Hamidouche, Wassim
Text and Data Mining valid from 2021-07-21
Version of Record valid from 2021-07-21
Article History
Received: 5 December 2020
Accepted: 10 July 2021
First Online: 21 July 2021
Declarations
:
: The authors declare that they have no conflict of interest.