2 papers
cs.CR2026
Detecting and Eliminating Neural Network Backdoors Through Active Paths with Application to Intrusion Detection
Eirik Høyheim, Magnus Wiik Eckhoff, Gudmund Grov +2
Machine learning backdoors have the property that the machine learning model should work as expected on normal inputs, but when the input contains a specific , it…
cs.CR2020
Traffic Generation using Containerization for Machine Learning
Henry Clausen, Robert Flood, David Aspinall
The design and evaluation of data-driven network intrusion detection methods are currently held back by a lack of adequate data, both in terms of benign and attack traffic. Existin…