2018 Presentations

Alexander Kott (keynote): Bonware to the Rescue: the Future Autonomous Cyber Defense Agents

Jay Yang: Anticipatory Cyber Defense via Predictive Analytics, Machines Learning and Simulation

C. Bayan Bruss: Worm2Vec: Embedding Malicious Code for Efficient Clustering & Classification

Rebecca Bilbro: Inferring Model Families from Deployed Black Boxes

Kyle Gwinnup: Serverless Data Processing Architecture for Binary Analysis

Ryan Kovar: Datasets for the Everyman

Bryan Genz: Labeling Red: Harvesting Labeled Data from Adversary Simulations

Scott Coull: Activation Analysis of a Byte-based Deep Neural Network for Malware Classification

Hyrum Anderson: A feature presentation: semi-supervised learning of file representations

David Krisiloff: Measure Twice, Quarantine Once: A Tale of Malware Labeling over Time

Nahid Farhady: An Effective Framework for Malware Detection and Classification using Feature Prioritization

Maya Gupta (keynote): Do You Know What Your ML Is Doing?

Matthew Berninger: APTinder: An optimized approach for finding that perfect APT match

Awalin Nabila Sopan: Interpretation of Threat Prediction Model for SOC Analysts

Cody Wild: Some Mistakes are More Mistaken Than Others: Using Cost-Matrix Clustering to Address Misclassification Cost Asymmetries in Website Content Classification

Bronwyn Woods: Point process modeling of temporal patterns in user authentication behavior

Frances Zlotnick: Using Anomaly Detection on User Demographic Distributions to Identify Fake Account Bursts

Richard Harang: Estimating uncertainty for binary classifiers

Bobby Filar: TreeHuggr: Discovering where tree-based classifiers are vulnerable to adversarial attack

Malachi Jones: Automated in-memory malware/rootkit detection via binary analysis and machine learning

Lindsey Lack: Improved Multi-Stage Classification for Information Security Applications