How We Trained and Classified APKs Using Artificial Neural Networks
Offered By: Cooper via YouTube
Course Description
Overview
Explore cutting-edge techniques for classifying Android APKs using Artificial Neural Networks (ANNs) in this insightful conference talk from Hack.lu 2018. Join Roman Graf and Aaron Kaplan as they delve into their innovative approach to training machine learning models for identifying potentially malicious applications. Learn about the challenges faced, methodologies employed, and the effectiveness of ANNs in enhancing mobile security. Gain valuable insights into the intersection of cybersecurity and artificial intelligence, and discover how these advanced techniques can be applied to protect against evolving threats in the Android ecosystem.
Syllabus
Hack.lu 2018: How We Trained The Dragon^W Classified APKs Via ANNs - Roman Graf and Aaron Kaplan
Taught by
Cooper
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