no code implementations • 25 Mar 2020 • Elnaz Barshan, Marc-Etienne Brunet, Gintare Karolina Dziugaite
In this work, we focus on the use of influence functions to identify relevant training examples that one might hope "explain" the predictions of a machine learning model.
no code implementations • 25 Sep 2019 • Ousmane Amadou Dia, Elnaz Barshan, Reza Babanezhad
While progress has been made in crafting visually imperceptible adversarial examples, constructing semantically meaningful ones remains a challenge.
no code implementations • 10 Mar 2019 • Ousmane Amadou Dia, Elnaz Barshan, Reza Babanezhad
While progress has been made in crafting visually imperceptible adversarial examples, constructing semantically meaningful ones remains a challenge.
no code implementations • 7 Apr 2017 • Mohammad Javad Shafiee, Elnaz Barshan, Alexander Wong
In this study, we take a deeper look at the notion of synaptic cluster-driven evolution of deep neural networks which guides the evolution process towards the formation of a highly sparse set of synaptic clusters in offspring networks.