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on
1
Intro
2
Who Am I?
3
Some Perspective
4
New Kid on the Block
5
Core Challenges
6
Problem Distillation
7
Playing in a Sandbox
8
Detect A Sandbox
9
Select Features
10
Explore Features
11
Code - Decision Tree
12
Code - Neural Network
13
Deploy Models
14
Maintenance
15
Client-Side Models
16
Getting to the Data
17
Cotton Candy
Description:
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.

Scheming with Machines

BSidesLV
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