Yukui Luo

According to our database, Yukui Luo authored at least 27 papers between 2017 and 2023.

Collaborative distances:

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

2023

NNSplitter: An Active Defense Solution to DNN Model via Automated Weight Obfuscation.

Tong Zhou, Yukui Luo, Shaolei Ren, Xiaolin Xu

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

LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference.

Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation.

Tong Zhou, Yukui Luo, Shaolei Ren, Xiaolin Xu

Proceedings of the International Conference on Machine Learning, 2023

AutoReP: Automatic ReLU Replacement for Fast Private Network Inference.

Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding

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

HammerDodger: A Lightweight Defense Framework against RowHammer Attack on DNNs.

Cheng Gongye, Yukui Luo, Xiaolin Xu, Yunsi Fei

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 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

2021

Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA.

Adnan Siraj Rakin, Yukui Luo, Xiaolin Xu, Deliang Fan

Proceedings of the 30th USENIX Security Symposium, 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

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

Constructive Use of Process Variations: Reconfigurable and High-Resolution Delay-Line.

Wenhao Wang, Yukui Luo, Xiaolin Xu

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

SGX-FPGA: Trusted Execution Environment for CPU-FPGA Heterogeneous Architecture.

Ke Xia, Yukui Luo, Xiaolin Xu, Sheng Wei

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

DeepStrike: Remotely-Guided Fault Injection Attacks on DNN Accelerator in Cloud-FPGA.

Yukui Luo, Cheng Gongye, Yunsi Fei, Xiaolin Xu

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

A High-Performance and Secure TRNG Based on Chaotic Cellular Automata Topology.

Yukui Luo, Wenhao Wang, Scott Best, Yanzhi Wang, Xiaolin Xu

IEEE Trans. Circuits Syst., 2020

A Novel FPGA Accelerator Design for Real-Time and Ultra-Low Power Deep Convolutional Neural Networks Compared With Titan X GPU.

Shuai Li, Yukui Luo, Kuangyuan Sun, Nandakishor Yadav, Kyuwon Ken Choi

IEEE Access, 2020

Stealthy-Shutdown: Practical Remote Power Attacks in Multi - Tenant FPGAs.

Yukui Luo, Cheng Gongye, Shaolei Ren, Yunsi Fei, Xiaolin Xu

Proceedings of the 38th IEEE International Conference on Computer Design, 2020

A Quantitative Defense Framework against Power Attacks on Multi-tenant FPGA.

Yukui Luo, Xiaolin Xu

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

A Dynamic Frequency Scaling Framework Against Reliability and Security Issues in Multi-tenant FPGA.

Yukui Luo, Xiaolin Xu

Proceedings of the 28th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2020

2019

HILL: A Hardware Isolation Framework Against Information Leakage on Multi-Tenant FPGA Long-Wires.

Yukui Luo, Xiaolin Xu

Proceedings of the International Conference on Field-Programmable Technology, 2019

2017

Highly-efficient parallel convolution acceleration by using multiple GPUs.

Kuangyuan Sun, Shuai Li, Yukui Luo, Raul Renteria, Ken Choi

Proceedings of the International SoC Design Conference, 2017

Implementation of deep learning neural network for real-time object recognition in OpenCL framework.

Yukui Luo, Shuai Li, Kuangyuan Sun, Raul Renteria, Ken Choi

Proceedings of the International SoC Design Conference, 2017