CSI Neural Network: Using Side-channels to Recover Your Artificial Neural Network Information

Understand

Machine learning has become mainstream across industries.

• Numerous examples proved the validity of it for security applications.
• In this work, we investigate how to reverse engineer a neural network by using only power side-channel information.
• To this end, we consider a multilayer perceptron as the machine learning architecture of choice and assume a non-invasive and eavesdropping attacker capable of measuring only passive side-channel leakages like power consumption, electromagnetic radiation, and reaction time.