no code implementations • 2 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.
no code implementations • 7 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.
no code implementations • 29 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.
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).