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Adversarial Attack and Defence through Adversarial Training and Feature Fusion for Diabetic Retinopathy Recognition

Due to the rapid growth in artificial intelligence (AI) and deep learning (DL) approaches, the security and robustness of the deployed algorithms need to be guaranteed. The security susceptibility of the DL algorithms to adversarial examples has been widely acknowledged. The artificially created exa...

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Bibliografske podrobnosti
izdano v:Sensors (Basel)
Main Authors: Lal, Sheeba, Rehman, Saeed Ur, Shah, Jamal Hussain, Meraj, Talha, Rauf, Hafiz Tayyab, Damaševičius, Robertas, Mohammed, Mazin Abed, Abdulkareem, Karrar Hameed
Format: Artigo
Jezik:Inglês
Izdano: MDPI 2021
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC8201392/
https://ncbi.nlm.nih.gov/pubmed/34200216
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21113922
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