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Faux Data, Real Defense - ML Advancements in Data Synthesis

Security BSides San Francisco via YouTube

Overview

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Explore cutting-edge machine learning advancements in data synthesis for cybersecurity in this 25-minute conference talk from Security BSides San Francisco. Dive into the challenges of procuring realistic cybersecurity data and the expensive nature of simulations. Discover how recent developments in Large Language Models (LLMs) have revolutionized synthetic data generation. Investigate the potential benefits of these advancements for ML-based detection methods in cybersecurity. Examine various methodologies and delve into a practical use case that demonstrates the application of synthetic data in enhancing cybersecurity defenses.

Syllabus

BSidesSF 2024 - Faux Data, Real Defense: ML advancements in data synthesis (Arjun Chakraborty)

Taught by

Security BSides San Francisco

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