no code implementations • 31 May 2022 • Utku Ozbulak, Manvel Gasparyan, Shodhan Rao, Wesley De Neve, Arnout Van Messem
Predictions made by deep neural networks were shown to be highly sensitive to small changes made in the input space where such maliciously crafted data points containing small perturbations are being referred to as adversarial examples.
no code implementations • 2 Jun 2020 • Utku Ozbulak, Manvel Gasparyan, Wesley De Neve, Arnout Van Messem
Our experiments reveal that the Iterative Fast Gradient Sign attack, which is thought to be fast for generating adversarial examples, is the worst attack in terms of the number of iterations required to create adversarial examples in the setting of equal perturbation.
