Adversarial ML Attack on Self Organizing Cellular Networks

26 Sep 2019 Farooq Salah-ud-din Usama Muhammad Qadir Junaid Imran Muhammad Ali

Deep Neural Networks (DNN) have been widely adopted in self-organizing networks (SON) for automating different networking tasks. Recently, it has been shown that DNN lack robustness against adversarial examples where an adversary can fool the DNN model into incorrect classification by introducing a small imperceptible perturbation to the original example... (read more)

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Categories


  • CRYPTOGRAPHY AND SECURITY
  • NETWORKING AND INTERNET ARCHITECTURE