6 citations · 7 across the 2 of their papers we have counts for
3 papers
cs.CR2020
Attention-Based Self-Supervised Feature Learning for Security Data
I-Ta Lee, Manish Marwah, Martin Arlitt
While applications of machine learning in cyber-security have grown rapidly, most models use manually constructed features. This manual approach is error-prone and requires domain…
cs.LG2019★ 1 cited
ACE -- An Anomaly Contribution Explainer for Cyber-Security Applications
Xiao Zhang, Manish Marwah, I-ta Lee +2
In this paper, we introduce Anomaly Contribution Explainer or ACE, a tool to explain security anomaly detection models in terms of the model features through a regression framework…
cs.DC2017★ 6 cited
Sparkle: Optimizing Spark for Large Memory Machines and Analytics
Mijung Kim, Jun Li, Haris Volos +7
Spark is an in-memory analytics platform that targets commodity server environments today. It relies on the Hadoop Distributed File System (HDFS) to persist intermediate checkpoint…