21 citations · 28 across the 5 of their papers we have counts for
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cs.LG2019
Deep Detector Health Management under Adversarial Campaigns
Javier Echauz, Keith Kenemer, Sarfaraz Hussein +4
Machine learning models are vulnerable to adversarial inputs that induce seemingly unjustifiable errors. As automated classifiers are increasingly used in industrial control system…
cs.CR2019
Finding Rats in Cats: Detecting Stealthy Attacks using Group Anomaly Detection
Aditya Kuppa, Slawomir Grzonkowski, Muhammad Rizwan Asghar +1
Advanced attack campaigns span across multiple stages and stay stealthy for long time periods. There is a growing trend of attackers using off-the-shelf tools and pre-installed sys…