2 papers
cs.LG2023
A Saliency-based Clustering Framework for Identifying Aberrant Predictions
Aina Tersol Montserrat, Alexander R. Loftus, Yael Daihes
In machine learning, classification tasks serve as the cornerstone of a wide range of real-world applications. Reliable, trustworthy classification is particularly intricate in bio…
cs.CR2020
MORTON: Detection of Malicious Routines in Large-Scale DNS Traffic
Yael Daihes, Hen Tzaban, Asaf Nadler +1
In this paper, we present MORTON, a method that identifies compromised devices in enterprise networks based on the existence of routine DNS communication between devices and disrep…