Shijin Duan

According to our database, Shijin Duan authored at least 21 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction.

Shijin Duan, Ruyi Ding, Jiaxing He, Aidong Adam Ding, Yunsi Fei, Xiaolin Xu

CoRR, 2024

SSNet: A Lightweight Multi-Party Computation Scheme for Practical Privacy-Preserving Machine Learning Service in the Cloud.

Shijin Duan, Chenghong Wang, Hongwu Peng, Yukui Luo, Wujie Wen, Caiwen Ding, Xiaolin Xu

CoRR, 2024

Scheduled Knowledge Acquisition on Lightweight Vector Symbolic Architectures for Brain-Computer Interfaces.

Yejia Liu, Shijin Duan, Xiaolin Xu, Shaolei Ren

CoRR, 2024

MicroVSA: An Ultra-Lightweight Vector Symbolic Architecture-based Classifier Library for Always-On Inference on Tiny Microcontrollers.

Nuntipat Narkthong, Shijin Duan, Shaolei Ren, Xiaolin Xu

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast On-Device Adaption.

Yejia Liu, Shijin Duan, Xiaolin Xu, Shaolei Ren

CoRR, 2023

RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference.

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

CoRR, 2023

AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization.

Yukui Luo, Nuo Xu, Hongwu Peng, Chenghong Wang, Shijin Duan, Kaleel Mahmood, Wujie Wen, Caiwen Ding, Xiaolin Xu

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Achieving Certified Robustness for Brain-Inspired Low-Dimensional Computing Classifiers.

Fangfang Yang, Shijin Duan, Xiaolin Xu, Shaolei Ren

Proceedings of the IEEE INFOCOM 2023, 2023

VertexSerum: Poisoning Graph Neural Networks for Link Inference.

Ruyi Ding, Shijin Duan, Xiaolin Xu, Yunsi Fei

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MirrorNet: A TEE-Friendly Framework for Secure On-Device DNN Inference.

Ziyu Liu, Yukui Luo, Shijin Duan, Tong Zhou, Xiaolin Xu

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment.

Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

FPGAPRO: A Defense Framework Against Crosstalk-Induced Secret Leakage in FPGA.

Yukui Luo, Shijin Duan, Xiaolin Xu

ACM Trans. Design Autom. Electr. Syst., 2022

A Brain-Inspired Low-Dimensional Computing Classifier for Inference on Tiny Devices.

Shijin Duan, Xiaolin Xu, Shaolei Ren

CoRR, 2022

A Cautionary Note on Building Multi-tenant Cloud-FPGA as a Secure Infrastructure.

Yukui Luo, Yuheng Zhang, Shijin Duan, Xiaolin Xu

Proceedings of the International Conference on Field-Programmable Technology, 2022

An Integrity Checking Framework for AXI Protocol in Multi-tenant FPGA.

Yukui Luo, Yuheng Zhang, Shijin Duan, Xiaolin Xu

Proceedings of the FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, 27 February 2022, 2022

NNReArch: A Tensor Program Scheduling Framework Against Neural Network Architecture Reverse Engineering.

Yukui Luo, Shijin Duan, Cheng Gongye, Yunsi Fei, Xiaolin Xu

Proceedings of the 30th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2022

HDLock: exploiting privileged encoding to protect hyperdimensional computing models against IP stealing.

Shijin Duan, Shaolei Ren, Xiaolin Xu

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

LeHDC: learning-based hyperdimensional computing classifier.

Shijin Duan, Yejia Liu, Shaolei Ren, Xiaolin Xu

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Deep Neural Network Security From a Hardware Perspective.

Tong Zhou, Yuheng Zhang, Shijin Duan, Yukui Luo, Xiaolin Xu

Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2021

HDCOG: A Lightweight Hyperdimensional Computing Framework with Feature Extraction.

Shijin Duan, Xiaolin Xu

Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2021

A Survey of Recent Attacks and Mitigation on FPGA Systems.

Shijin Duan, Wenhao Wang, Yukui Luo, Xiaolin Xu

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2021