How Supercomputer-Scale Neural Network Models Apply to Defensive Cybersecurity Problems
Offered By: Black Hat via YouTube
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
Related Courses
Computer SecurityStanford University via Coursera Cryptography II
Stanford University via Coursera Malicious Software and its Underground Economy: Two Sides to Every Story
University of London International Programmes via Coursera Building an Information Risk Management Toolkit
University of Washington via Coursera Introduction to Cybersecurity
National Cybersecurity Institute at Excelsior College via Canvas Network