Yukui Luo

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 39

Top Topics

Execution Environment

Neural Architecture

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)
Chenghong Wang, Lina Qiu, Johes Bater, Yukui Luo
SPECIAL: Synopsis Assisted Secure Collaborative Analytics. CoRR (2024)
Ziyu Liu, Tong Zhou, Yukui Luo, Xiaolin Xu
TBNet: A Neural Architectural Defense Framework Facilitating DNN Model Protection in Trusted Execution Environments. CoRR (2024)
Tong Zhou, Jiahui Zhao, Yukui Luo, Xi Xie, Wujie Wen, Caiwen Ding, Xiaolin Xu
AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing. CoRR (2024)
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, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted 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)
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
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference. CoRR (2023)
Tong Zhou, Yukui Luo, Shaolei Ren, Xiaolin Xu
NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation. ICML (2023)
Tong Zhou, Yukui Luo, Shaolei Ren, Xiaolin Xu
NNSplitter: An Active Defense Solution to DNN Model via Automated Weight Obfuscation. CoRR (2023)
Cheng Gongye, Yukui Luo, Xiaolin Xu, Yunsi Fei
HammerDodger: A Lightweight Defense Framework against RowHammer Attack on DNNs. DAC (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)
Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference. NeurIPS (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, 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
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference. ICCV (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)
Yukui Luo, Yuheng Zhang, Shijin Duan, Xiaolin Xu
A Cautionary Note on Building Multi-tenant Cloud-FPGA as a Secure Infrastructure. FPT (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)
Yukui Luo, Shijin Duan, Cheng Gongye, Yunsi Fei, Xiaolin Xu
NNReArch: A Tensor Program Scheduling Framework Against Neural Network Architecture Reverse Engineering. CoRR (2022)
Ke Xia, Yukui Luo, Xiaolin Xu, Sheng Wei
SGX-FPGA: Trusted Execution Environment for CPU-FPGA Heterogeneous Architecture. DAC (2021)
Yukui Luo, Cheng Gongye, Yunsi Fei, Xiaolin Xu
DeepStrike: Remotely-Guided Fault Injection Attacks on DNN Accelerator in Cloud-FPGA. CoRR (2021)
Wenhao Wang, Yukui Luo, Xiaolin Xu
Constructive Use of Process Variations: Reconfigurable and High-Resolution Delay-Line. DATE (2021)
Yukui Luo, Cheng Gongye, Yunsi Fei, Xiaolin Xu
DeepStrike: Remotely-Guided Fault Injection Attacks on DNN Accelerator in Cloud-FPGA. DAC (2021)
Adnan Siraj Rakin, Yukui Luo, Xiaolin Xu, Deliang Fan
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA. USENIX Security Symposium (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)
Yukui Luo, Wenhao Wang, Scott Best, Yanzhi Wang, Xiaolin Xu
A High-Performance and Secure TRNG Based on Chaotic Cellular Automata Topology. IEEE Trans. Circuits Syst. (12) (2020)
Shuai Li, Yukui Luo, Kuangyuan Sun, Nandakishor Yadav, Kyuwon Ken Choi
A Novel FPGA Accelerator Design for Real-Time and Ultra-Low Power Deep Convolutional Neural Networks Compared With Titan X GPU. IEEE Access 8 (2020)
Adnan Siraj Rakin, Yukui Luo, Xiaolin Xu, Deliang Fan
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA. CoRR (2020)
Yukui Luo, Cheng Gongye, Shaolei Ren, Yunsi Fei, Xiaolin Xu
Stealthy-Shutdown: Practical Remote Power Attacks in Multi - Tenant FPGAs. ICCD (2020)
Yukui Luo, Xiaolin Xu
A Quantitative Defense Framework against Power Attacks on Multi-tenant FPGA. ICCAD (2020)
Yukui Luo, Xiaolin Xu
A Dynamic Frequency Scaling Framework Against Reliability and Security Issues in Multi-tenant FPGA. FCCM (2020)
Yukui Luo, Xiaolin Xu
HILL: A Hardware Isolation Framework Against Information Leakage on Multi-Tenant FPGA Long-Wires. FPT (2019)
Kuangyuan Sun, Shuai Li, Yukui Luo, Raul Renteria, Ken Choi
Highly-efficient parallel convolution acceleration by using multiple GPUs. ISOCC (2017)
Yukui Luo, Shuai Li, Kuangyuan Sun, Raul Renteria, Ken Choi
Implementation of deep learning neural network for real-time object recognition in OpenCL framework. ISOCC (2017)