FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning

no code implementations • 4 Nov 2018 • Faiq Khalid, Muhammmad Abdullah Hanif, Semeen Rehman, Junaid Qadir, Muhammad Shafique

Deep neural networks (DNN)-based machine learning (ML) algorithms have recently emerged as the leading ML paradigm particularly for the task of classification due to their superior capability of learning efficiently from large datasets.

Adversarial Attack BIG-bench Machine Learning +1