Adversarial_Attack_using_Neural_Image_Modification - Jan 17.pdf (12.45 MB)
Download file

Adversarial Attack using Neural Image Modification

Download (12.45 MB)
posted on 2022-01-25, 13:37 authored by Jandrik LanaJandrik Lana
In order to help development into analyzing the characteristics of adversarial sample generation in artificial neural networks, this work proposes a framework for an adversarial attack that utilizes neural image modification to generate an adversarial sample. This method proves to be effective in reducing a target network’s accuracy in both untargeted and targeted attacks with good success rates. This method also shows some effectiveness against defensive distillation, but not transferrable between multiple models.


Email Address of Submitting Author

ORCID of Submitting Author


Submitting Author's Institution

Quezon City Science High School

Submitting Author's Country

  • Philippines

Usage metrics