2 papers
cs.LG2020
RelatIF: Identifying Explanatory Training Examples via Relative Influence
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. One short…
stat.ML2019
Semantics Preserving Adversarial Learning
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. In this paper, we propose a fra…