Explore the intricacies of machine learning in cybersecurity through this 57-minute conference talk from BSidesLV 2019. Delve into core challenges, problem distillation, and sandbox detection techniques. Learn about feature selection and exploration, decision tree and neural network coding, model deployment, and maintenance. Discover approaches to client-side models and data acquisition, providing valuable insights for cybersecurity professionals and machine learning enthusiasts alike.
Overview
Syllabus
Intro
Who Am I?
Some Perspective
New Kid on the Block
Core Challenges
Problem Distillation
Playing in a Sandbox
Detect A Sandbox
Select Features
Explore Features
Code - Decision Tree
Code - Neural Network
Deploy Models
Maintenance
Client-Side Models
Getting to the Data
Cotton Candy
Taught by
BSidesLV
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