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cs.CR2020★ 5 cited
Perturbing Inputs to Prevent Model Stealing
Justin Grana
We show how perturbing inputs to machine learning services (ML-service) deployed in the cloud can protect against model stealing attacks. In our formulation, there is an ML-service…
cs.CR2016
A Likelihood Ratio Detector for Identifying Within-Perimeter Computer Network Attacks
Justin Grana, David Wolpert, Joshua Neil +3
The rapid detection of attackers within firewalls of enterprise computer net- works is of paramount importance. Anomaly detectors address this problem by quantifying deviations fro…