Shijin Duan

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 27

Top Topics

Top Venues

Publications

Shijin Duan, Chenghong Wang, Hongwu Peng, Yukui Luo, Wujie Wen, Caiwen Ding, Xiaolin Xu
SSNet: A Lightweight Multi-Party Computation Scheme for Practical Privacy-Preserving Machine Learning Service in the Cloud. CoRR (2024)
Yejia Liu, Shijin Duan, Xiaolin Xu, Shaolei Ren
Scheduled Knowledge Acquisition on Lightweight Vector Symbolic Architectures for Brain-Computer Interfaces. CoRR (2024)
Nuntipat Narkthong, Shijin Duan, Shaolei Ren, Xiaolin Xu
MicroVSA: An Ultra-Lightweight Vector Symbolic Architecture-based Classifier Library for Always-On Inference on Tiny Microcontrollers. ASPLOS (2) (2024)
Ruyi Ding, Shijin Duan, Xiaolin Xu, Yunsi Fei
VertexSerum: Poisoning Graph Neural Networks for Link Inference. ICCV (2023)
Ziyu Liu, Yukui Luo, Shijin Duan, Tong Zhou, Xiaolin Xu
MirrorNet: A TEE-Friendly Framework for Secure On-Device DNN Inference. ICCAD (2023)
Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Shaoyi Huang, Xi Xie, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding
RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference. CoRR (2023)
Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding
PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment. DAC (2023)
Yejia Liu, Shijin Duan, Xiaolin Xu, Shaolei Ren
MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast On-Device Adaption. CoRR (2023)
Fangfang Yang, Shijin Duan, Xiaolin Xu, Shaolei Ren
Achieving Certified Robustness for Brain-Inspired Low-Dimensional Computing Classifiers. INFOCOM Workshops (2023)
Ruyi Ding, Shijin Duan, Xiaolin Xu, Yunsi Fei
VertexSerum: Poisoning Graph Neural Networks for Link Inference. CoRR (2023)
Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding
PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment. CoRR (2023)
Yukui Luo, Nuo Xu, Hongwu Peng, Chenghong Wang, Shijin Duan, Kaleel Mahmood, Wujie Wen, Caiwen Ding, Xiaolin Xu
AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization. MICRO (2023)
Ziyu Liu, Yukui Luo, Shijin Duan, Tong Zhou, Xiaolin Xu
MirrorNet: A TEE-Friendly Framework for Secure On-device DNN Inference. CoRR (2023)
Hongwu Peng, Shanglin Zhou, Yukui Luo, Shijin Duan, Nuo Xu, Ran Ran, Shaoyi Huang, Chenghong Wang, Tong Geng, Ang Li, Wujie Wen, Xiaolin Xu, Caiwen Ding
PolyMPCNet: Towards ReLU-free Neural Architecture Search in Two-party Computation Based Private Inference. CoRR (2022)
Yukui Luo, Shijin Duan, Cheng Gongye, Yunsi Fei, Xiaolin Xu
NNReArch: A Tensor Program Scheduling Framework Against Neural Network Architecture Reverse Engineering. FCCM (2022)
Shijin Duan, Xiaolin Xu, Shaolei Ren
A Brain-Inspired Low-Dimensional Computing Classifier for Inference on Tiny Devices. CoRR (2022)
Yukui Luo, Yuheng Zhang, Shijin Duan, Xiaolin Xu
A Cautionary Note on Building Multi-tenant Cloud-FPGA as a Secure Infrastructure. FPT (2022)
Shijin Duan, Shaolei Ren, Xiaolin Xu
HDLock: exploiting privileged encoding to protect hyperdimensional computing models against IP stealing. DAC (2022)
Shijin Duan, Yejia Liu, Shaolei Ren, Xiaolin Xu
LeHDC: learning-based hyperdimensional computing classifier. DAC (2022)
Yukui Luo, Shijin Duan, Xiaolin Xu
FPGAPRO: A Defense Framework Against Crosstalk-Induced Secret Leakage in FPGA. ACM Trans. Design Autom. Electr. Syst. 27 (3) (2022)
Yukui Luo, Yuheng Zhang, Shijin Duan, Xiaolin Xu
An Integrity Checking Framework for AXI Protocol in Multi-tenant FPGA. FPGA (2022)
Shijin Duan, Shaolei Ren, Xiaolin Xu
HDLock: Exploiting Privileged Encoding to Protect Hyperdimensional Computing Models against IP Stealing. CoRR (2022)
Yukui Luo, Shijin Duan, Cheng Gongye, Yunsi Fei, Xiaolin Xu
NNReArch: A Tensor Program Scheduling Framework Against Neural Network Architecture Reverse Engineering. CoRR (2022)
Shijin Duan, Yejia Liu, Shaolei Ren, Xiaolin Xu
LeHDC: Learning-Based Hyperdimensional Computing Classifier. CoRR (2022)
Shijin Duan, Xiaolin Xu
HDCOG: A Lightweight Hyperdimensional Computing Framework with Feature Extraction. NANOARCH (2021)
Shijin Duan, Wenhao Wang, Yukui Luo, Xiaolin Xu
A Survey of Recent Attacks and Mitigation on FPGA Systems. ISVLSI (2021)
Tong Zhou, Yuheng Zhang, Shijin Duan, Yukui Luo, Xiaolin Xu
Deep Neural Network Security From a Hardware Perspective. NANOARCH (2021)