Toward Large-Scale Vulnerability Discovery Using Machine Learning - DefCamp - 2015

Explore a comprehensive conference talk from DefCamp 2015 focused on leveraging Machine Learning for large-scale vulnerability discovery. Delve into key ideas, previous work, and the general plan for implementing vulnerability detection techniques. Learn about data collection methods, crash analysis, prediction models, and feature extraction processes. Gain insights into tools like LTrace, embedding techniques, and weighted scoring systems. Participate in a hands-on workshop demonstrating practical applications, including the use of terminal commands, input directories, trace analysis, and image processing tools. Witness a live demo of the Bdiscover tool, showcasing real-world implementation of the discussed concepts.

Introduction
Presentation
Key Ideas
Previous Work
Vulnerability Detection
General Plan
Explanation
Key Principles
Data Collection
Crash Analysis
Prediction
LTrace
Embedding
Training and testing
Feature Extraction
Weighted Scores
Workshop
Tools
Terminal
Input directory
Trace
Image processing tools
Bdiscover
Demo