1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2022
An Adversarial Robustness Perspective on the Topology of Neural Networks
Morgane Goibert, Thomas Ricatte, Elvis Dohmatob
In this paper, we investigate the impact of neural networks (NNs) topology on adversarial robustness. Specifically, we study the graph produced when an input traverses all the laye…
cs.LG2022★ 1 cited
Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications
Morgane Goibert, Stéphan Clémençon, Ekhine Irurozki +1
The concept of median/consensus has been widely investigated in order to provide a statistical summary of ranking data, i.e. realizations of a random permutation of a finite se…
cs.LG2019
Adversarial Robustness via Label-Smoothing
Morgane Goibert, Elvis Dohmatob
We study Label-Smoothing as a means for improving adversarial robustness of supervised deep-learning models. After establishing a thorough and unified framework, we propose several…