2017 Presentations
Philip Tully: Lean, Data-Driven Social Media Security
Nathan Danneman: Spill Trees at Scale with Hierarchical Divisive Clustering
Rich Harang: Estimating Weight Sharing In Multi-Task Networks via Approximate Fisher Information
Lauren Deason: Scalable Temporal Analytics to Detect Automation and Coordinatoin
Keegan Hines: Parallelized Hyperparameter Optimization for Machine Learning Models
Ruslan Vaulin: A New Kind of Deep Learning
Melissa Kilby: Slowly Going Down: A Machine Intelligence Approach to Low Volume DDOS Attacks
Richard Seymour: Creating Conversational Interfaces to Recontextualize Security Work
Catherine Edwards: User-Based Network Anomaly Detection Using Self Organizing Maps
David Pekarek: A Data Pipeline for Behavioral Clustering and Classification in Enterprise Networks
Jeffrey Johns: Representation Learning for Malware Classification