1 citations · 1 across the 3 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.LG2023
Mahalanobis-Aware Training for Out-of-Distribution Detection
Connor Mclaughlin, Jason Matterer, Michael Yee
While deep learning models have seen widespread success in controlled environments, there are still barriers to their adoption in open-world settings. One critical task for safe de…
cs.CR2023★ 1 cited
Poisoning Network Flow Classifiers
Giorgio Severi, Simona Boboila, Alina Oprea +3
As machine learning (ML) classifiers increasingly oversee the automated monitoring of network traffic, studying their resilience against adversarial attacks becomes critical. This…