YoVDO

Static Detection of Novel Malware Using Transfer Learning with Deep Neural Networks

Offered By: BSidesLV via YouTube

Tags

Security BSides Courses Cybersecurity Courses Machine Learning Courses Transfer Learning Courses Deep Neural Networks Courses Malware Detection Courses

Course Description

Overview

Explore cutting-edge techniques for detecting novel malware through a 50-minute conference talk from BSidesLV 2021. Delve into the application of transfer learning with deep neural networks for static malware detection, presented by Emily Rexer and Henry Reed. Gain insights into advanced cybersecurity methods that leverage machine learning to identify previously unknown threats. Learn how these innovative approaches can enhance malware detection capabilities and strengthen overall system security.

Syllabus

BG - Static Detection of Novel Malware Using Transfer Learning with Deep Neural Networks


Taught by

BSidesLV

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent