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How Supercomputer-Scale Neural Network Models Apply to Defensive Cybersecurity Problems

Offered By: Black Hat via YouTube

Tags

Black Hat Courses Cybersecurity Courses Machine Learning Courses Neural Networks Courses GPT-3 Courses Supercomputers Courses

Course Description

Overview

Explore how supercomputer-scale neural networks revolutionize defensive cybersecurity in this 35-minute Black Hat conference talk. Discover two groundbreaking applications of large neural networks: generating human-readable explanations of complex attacker behavior and detecting malicious activities with limited examples. Learn how to leverage publicly available models like OpenAI's GPT-3 for your own large-scale neural network experiments. Gain insights from speakers Younghoo Lee and Joshua Saxe as they demonstrate the transformative potential of these advanced models in enhancing security measures and expanding the horizons of machine learning applications in cybersecurity.

Syllabus

How Supercomputer-scale Neural Network Models Apply to Defensive Cybersecurity Problems


Taught by

Black Hat

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