Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

PyFET - Forensically Equivalent Transformation for Python Binary Decompilation

IEEE via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a 17-minute IEEE conference talk on a novel approach to Python binary decompilation. Delve into the concept of Forensically Equivalent Transformation (FET) and its application in recovering source code from compiled Python binaries. Learn how researchers from the University of Virginia, Georgia Institute of Technology, and the University of Tennessee have developed PyFET, a tool that aims to improve the accuracy and reliability of decompiled Python code. Gain insights into the challenges of binary decompilation and understand how PyFET addresses these issues to produce more forensically equivalent results.

Syllabus

PyFET: Forensically Equivalent Transformation for Python Binary Decompilation

Taught by

IEEE Symposium on Security and Privacy

Reviews

Start your review of PyFET - Forensically Equivalent Transformation for Python Binary Decompilation

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.