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Shijin Duan
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2020 – today
- 2024
- [c14]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: 730-745 - [i12]Yejia Liu, Shijin Duan, Xiaolin Xu, Shaolei Ren:
Scheduled Knowledge Acquisition on Lightweight Vector Symbolic Architectures for Brain-Computer Interfaces. CoRR abs/2403.13844 (2024) - [i11]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 abs/2406.02629 (2024) - [i10]Shijin Duan, Ruyi Ding, Jiaxing He, Aidong Adam Ding, Yunsi Fei, Xiaolin Xu:
GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction. CoRR abs/2410.03396 (2024) - 2023
- [c13]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: 1-6 - [c12]Ziyu Liu, Yukui Luo, Shijin Duan, Tong Zhou, Xiaolin Xu:
MirrorNet: A TEE-Friendly Framework for Secure On-Device DNN Inference. ICCAD 2023: 1-9 - [c11]Ruyi Ding, Shijin Duan, Xiaolin Xu, Yunsi Fei:
VertexSerum: Poisoning Graph Neural Networks for Link Inference. ICCV 2023: 4509-4518 - [c10]Fangfang Yang, Shijin Duan, Xiaolin Xu, Shaolei Ren:
Achieving Certified Robustness for Brain-Inspired Low-Dimensional Computing Classifiers. INFOCOM Workshops 2023: 1-6 - [c9]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: 628-640 - [i9]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 abs/2302.02292 (2023) - [i8]Yejia Liu, Shijin Duan, Xiaolin Xu, Shaolei Ren:
MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast On-Device Adaption. CoRR abs/2302.12347 (2023) - [i7]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 abs/2306.15513 (2023) - [i6]Ruyi Ding, Shijin Duan, Xiaolin Xu, Yunsi Fei:
VertexSerum: Poisoning Graph Neural Networks for Link Inference. CoRR abs/2308.01469 (2023) - [i5]Ziyu Liu, Yukui Luo, Shijin Duan, Tong Zhou, Xiaolin Xu:
MirrorNet: A TEE-Friendly Framework for Secure On-device DNN Inference. CoRR abs/2311.09489 (2023) - 2022
- [j1]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): 24:1-24:31 (2022) - [c8]Shijin Duan, Shaolei Ren, Xiaolin Xu:
HDLock: exploiting privileged encoding to protect hyperdimensional computing models against IP stealing. DAC 2022: 679-684 - [c7]Shijin Duan, Yejia Liu, Shaolei Ren, Xiaolin Xu:
LeHDC: learning-based hyperdimensional computing classifier. DAC 2022: 1111-1116 - [c6]Yukui Luo, Shijin Duan, Cheng Gongye, Yunsi Fei, Xiaolin Xu:
NNReArch: A Tensor Program Scheduling Framework Against Neural Network Architecture Reverse Engineering. FCCM 2022: 1-9 - [c5]Yukui Luo, Yuheng Zhang, Shijin Duan, Xiaolin Xu:
An Integrity Checking Framework for AXI Protocol in Multi-tenant FPGA. FPGA 2022: 155 - [c4]Yukui Luo, Yuheng Zhang, Shijin Duan, Xiaolin Xu:
A Cautionary Note on Building Multi-tenant Cloud-FPGA as a Secure Infrastructure. FPT 2022: 1-6 - [i4]Shijin Duan, Xiaolin Xu, Shaolei Ren:
A Brain-Inspired Low-Dimensional Computing Classifier for Inference on Tiny Devices. CoRR abs/2203.04894 (2022) - [i3]Shijin Duan, Yejia Liu, Shaolei Ren, Xiaolin Xu:
LeHDC: Learning-Based Hyperdimensional Computing Classifier. CoRR abs/2203.09680 (2022) - [i2]Shijin Duan, Shaolei Ren, Xiaolin Xu:
HDLock: Exploiting Privileged Encoding to Protect Hyperdimensional Computing Models against IP Stealing. CoRR abs/2203.09681 (2022) - [i1]Yukui Luo, Shijin Duan, Cheng Gongye, Yunsi Fei, Xiaolin Xu:
NNReArch: A Tensor Program Scheduling Framework Against Neural Network Architecture Reverse Engineering. CoRR abs/2203.12046 (2022) - 2021
- [c3]Shijin Duan, Wenhao Wang, Yukui Luo, Xiaolin Xu:
A Survey of Recent Attacks and Mitigation on FPGA Systems. ISVLSI 2021: 284-289 - [c2]Shijin Duan, Xiaolin Xu:
HDCOG: A Lightweight Hyperdimensional Computing Framework with Feature Extraction. NANOARCH 2021: 1-6 - [c1]Tong Zhou, Yuheng Zhang, Shijin Duan, Yukui Luo, Xiaolin Xu:
Deep Neural Network Security From a Hardware Perspective. NANOARCH 2021: 1-6
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last updated on 2024-11-14 00:54 CET by the dblp team
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