Adversarial Deep Learning for Indoor Localization With Channel State Information Tensors Article

Wang, Xiangyu, Wang, Xuyu, Mao, Shiwen et al. (2022). Adversarial Deep Learning for Indoor Localization With Channel State Information Tensors . IEEE INTERNET OF THINGS JOURNAL, 9(19), 18182-18194. 10.1109/JIOT.2022.3155562

cited authors

  • Wang, Xiangyu; Wang, Xuyu; Mao, Shiwen; Zhang, Jian; Periaswamy, Senthilkumar CG; Patton, Justin

sustainable development goals

authors

publication date

  • October 1, 2022

published in

keywords

  • Adversarial defense
  • CONVOLUTIONAL NEURAL-NETWORKS
  • Computer Science
  • Computer Science, Information Systems
  • Deep learning
  • Engineering
  • Engineering, Electrical & Electronic
  • Internet of Things
  • Location awareness
  • Perturbation methods
  • Science & Technology
  • Technology
  • Telecommunications
  • Tensors
  • Training
  • Wireless fidelity
  • adversarial examples
  • black-box attack
  • deep learning
  • indoor localization
  • white-box attack

Digital Object Identifier (DOI)

publisher

  • IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

start page

  • 18182

end page

  • 18194

volume

  • 9

issue

  • 19