Search Results for author: Xiaoxuan Lou

Found 4 papers, 0 papers with code

Mercury: An Automated Remote Side-channel Attack to Nvidia Deep Learning Accelerator

no code implementations2 Aug 2023 Xiaobei Yan, Xiaoxuan Lou, Guowen Xu, Han Qiu, Shangwei Guo, Chip Hong Chang, Tianwei Zhang

One big concern about the usage of the accelerators is the confidentiality of the deployed models: model inference execution on the accelerators could leak side-channel information, which enables an adversary to preciously recover the model details.

Model extraction

ShiftNAS: Towards Automatic Generation of Advanced Mulitplication-Less Neural Networks

no code implementations7 Apr 2022 Xiaoxuan Lou, Guowen Xu, Kangjie Chen, Guanlin Li, Jiwei Li, Tianwei Zhang

Multiplication-less neural networks significantly reduce the time and energy cost on the hardware platform, as the compute-intensive multiplications are replaced with lightweight bit-shift operations.

Neural Architecture Search

A Novel Watermarking Framework for Ownership Verification of DNN Architectures

no code implementations29 Sep 2021 Xiaoxuan Lou, Shangwei Guo, Tianwei Zhang, Jiwei Li, Yinqian Zhang, Yang Liu

We present a novel watermarking scheme to achieve the intellectual property (IP) protection and ownership verification of DNN architectures.

Model extraction Neural Architecture Search

NASPY: Automated Extraction of Automated Machine Learning Models

no code implementations ICLR 2022 Xiaoxuan Lou, Shangwei Guo, Jiwei Li, Yaoxin Wu, Tianwei Zhang

We present NASPY, an end-to-end adversarial framework to extract the networkarchitecture of deep learning models from Neural Architecture Search (NAS).

BIG-bench Machine Learning Model extraction +1

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