Resisting Deep Learning Models Against Adversarial Attack Transferability via Feature Randomization Article

Nowroozi, Ehsan, Mohammadi, Mohammadreza, Golmohammadi, Pargol et al. (2024). Resisting Deep Learning Models Against Adversarial Attack Transferability via Feature Randomization . IEEE TRANSACTIONS ON SERVICES COMPUTING, 17(1), 18-29. 10.1109/TSC.2023.3329081

cited authors

  • Nowroozi, Ehsan; Mohammadi, Mohammadreza; Golmohammadi, Pargol; Mekdad, Yassine; Conti, Mauro; Uluagac, Selcuk

authors

publication date

  • January 1, 2024

published in

keywords

  • Adversarial attacks
  • Closed box
  • Computer Science
  • Computer Science, Information Systems
  • Computer Science, Software Engineering
  • Computer vision
  • Deep learning
  • Robustness
  • Science & Technology
  • Security
  • Technology
  • Threat modeling
  • Training
  • adversarial learning
  • adversarial machine learning
  • convolutional neural network
  • cybersecurity
  • machine and deep learning
  • network security

Digital Object Identifier (DOI)

publisher

  • IEEE COMPUTER SOC

start page

  • 18

end page

  • 29

volume

  • 17

issue

  • 1