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    • Defense-GAN for text: protecting text classifiers against Adversarial Attacks 

      Ibáñez López, Bruno (Universitat Politècnica de Catalunya, 2019-06-18)
      Treball Final de Grau
      Accés restringit per decisió de l'autor
      In computer vision, Defense-GAN is a framework that leverages the capability of generative models to defend neural networks (NNs) against adversarial attacks. This paper investigates how Defense-GAN will behave when it is ...