March 24, 2022, 1:20 a.m. | Yukui Luo, Shijin Duan, Cheng Gongye, Yunsi Fei, Xiaolin Xu

cs.CR updates on arXiv.org arxiv.org

Architecture reverse engineering has become an emerging attack against deep
neural network (DNN) implementations. Several prior works have utilized
side-channel leakage to recover the model architecture while the target is
executing on a hardware acceleration platform. In this work, we target an
open-source deep-learning accelerator, Versatile Tensor Accelerator (VTA), and
utilize electromagnetic (EM) side-channel leakage to comprehensively learn the
association between DNN architecture configurations and EM emanations. We also
consider the holistic system -- including the low-level tensor program code …

architecture engineering framework network neural network program reverse reverse engineering tensor

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