CSI NN: Reverse Engineering of Neural Network Architectures Through Electromagnetic Side Channel

By Lejla Batina, Shivam Bhasin, Dirmanto Jap, Stjepan Picek. USENIX Security Symposium, 2019

347 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b12c15503435cffee16bdd156766dcf390eeb8f8

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Citations in the corpus

• NN-Lock: A Lightweight Authorization to Prevent IP Threats of Deep Learning Models (2022, methodology): “Model Reverse-Engineering Atacks It has been shown in recent literature that a black-box DNN model in an edge-device can be entirely reverseengineered by observing electromagnetic side-channel [Batina et al. 2019; Wei et al. 2018; Yu et al. 2020a].”