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
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