2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CR2019★ 2 cited
Reframing Threat Detection: Inside esINSIDER
M. Arthur Munson, Jason Kichen, Dustin Hillard +2
We describe the motivation and design for esINSIDER, an automated tool that detects potential persistent and insider threats in a network. esINSIDER aggregates clues from log data,…
cs.LG2012
Statistically adaptive learning for a general class of cost functions (SA L-BFGS)
Stephen Purpura, Dustin Hillard, Mark Hubenthal +3
We present a system that enables rapid model experimentation for tera-scale machine learning with trillions of non-zero features, billions of training examples, and millions of par…