DynaMO: A Dynamic Model Obfuscation Strategy for Protecting Mobile Deep Learning Models Against Reverse Engineering Attacks

DynaMO is a novel dynamic model obfuscation strategy that protects mobile deep learning models from reverse engineering attacks by coupling obfuscated operators and dynamically transforming weights during runtime, making it difficult for attackers to extract sensitive model information.