Defining the Level of Hardware Obfuscation using Machine Learning Techniques

Carnegie Mellon University, Pittsburgh, USA, 2018

Analysis of various patterns in the input-output sequences of various obfuscated circuits to define a metric to quantify the level of obfuscation in a circuit using machine learning techniques.

Collaborators - Xiang Lin, Dr. Shawn Blanton

Please find all the relevant resources below:

  1. Poster.