Navigating the Deep: Signature Extraction on Deep Neural Networks

Neural network model extraction has emerged in recent years as an important security concern, as adversaries attempt to recover a network's parameters via black-box queries. A key step in this process is signature extraction, which aims to recover the absolute values of the network's weights laye...

Model Extraction from Neural Networks

A new paper, "Polynomial Time Cryptanalytic Extraction of Neural Network Models," by Adi Shamir and others, uses ideas from differential cryptanalysis to extract the weights inside a neural network using specific queries and their results. This is much more theoretical than practical, but its a...

Model Extraction Attack on Neural Networks

Adi Shamir et al. have a new model extraction attack on neural networks: Polynomial Time Cryptanalytic Extraction of Neural Network Models Abstract: Billions of dollars and countless GPU hours are currently spent on training Deep Neural Networks DNNs for a variety of tasks. Thus, it is essential ...