Publications

2025

SPECIAL: Synopsis Assisted Secure Collaborative Analytics
Chenghong Wang, Lina Qiu, Johes Bater, Yukui Luo
Very Large Data Bases Conference (VLDB), 2025

2024

Watch Out for the Inherent Vulnerabilities in Developing Multi-tenant Cloud-FPGA: Communication Protocols
Ziyu Liu, Yukui Luo, Yuheng Zhang, Shijin Duan, Xiaolin Xu
ACM Transactions on Design Automation of Electronic Systems (TODAES), 2024.

AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing
Tong Zhou, Jiahui Zhao, Yukui Luo, Xi Xie, Wujie Wen, Caiwen Ding and Xiaolin Xu
IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2024.

TBNet: A Neural Architectural Defense Framework Facilitating DNN Model Protection in Trusted Execution Environments
Ziyu Liu, Tong Zhou, Yukui Luo and Xiaolin Xu
IEEE/ACM Design Automation Conference (DAC), 2024. (Acceptance Rate: 23%)

DeepShuffle: A Lightweight Defense Framework against Adversarial Fault Injection Attacks on Deep Neural Networks in Multi-Tenant Cloud-FPGA
Yukui Luo, Adnan Siraj Rakin, Deliang Fan, Xiaolin Xu
IEEE Symposium on Security and Privacy (S&P) (Oakland), 2024.

Side-Channel-Assisted Reverse-Engineering of Encrypted DNN Hardware Accelerator IP and Attack Surface Exploration
Gongye Cheng, Yukui Luo, Xiaolin Xu, Yunsi Fei
IEEE Symposium on Security and Privacy (S&P) (Oakland), 2024.

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
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 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
IEEE/ACM International Symposium on Microarchitecture (MICRO), 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
International Conference on Computer Vision (ICCV), 2023.

MirrorNet: A TEE-Friendly Framework for Secure On-device DNN Inference
Ziyu Liu, Yukui Luo, Shijin Duan, Tong Zhou and Xiaolin Xu
IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2023.

NNSplitter: An Active Defense Solution to DNN Model via Automated Weight Obfuscation
Tong Zhou, Yukui Luo, Shaolei Ren, Xiaolin Xu
International Conference on Machine Learning (ICML), 2023.

HammerDodger: A Lightweight Defense Framework against RowHammer Attack on Deep Neural Networks
Cheng Gongye, Yukui Luo, Xiaolin Xu, and Yunsi Fei
IEEE/ACM Design Automation Conference (DAC), 2023. (Acceptance Rate: 23%)

PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment
Yukui Luo, Hongwu Peng, Shanglin Zhou, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, and Caiwen Ding
IEEE/ACM Design Automation Conference (DAC), 2023. (Acceptance Rate: 23%)

2022

A Cautionary Note on Building Multi-tenant Cloud-FPGA as a Secure Infrastructure
Yukui Luo, Yuheng Zhang, Shijin Duan, Xiaolin Xu
International Conference on Field Programmable Technology (FPT), 2022.

NNReArch: A Tensor Program Scheduling Framework Against Neural Network Architecture Reverse Engineering
Yukui Luo, Shijin Duan, Cheng Gongye, Yunsi Fei, Xiaolin Xu
IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2022. (Acceptance Rate: 20%)

An Integrity Checking Framework for AXI Protocol in Multi-tenant FPGA
Yukui Luo, Yuheng Zhang, Shijin Duan, Xiaolin Xu
ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA), 2022. (poster)

2021

Deep Neural Network Security from A Hardware Perspective
Tong Zhou, Yuheng Zhang, Shijin Duan, Yukui Luo, Xiaolin Xu
IEEE/ACM Symposium on Nanoscale Architectures (NANOARCH), 2021.

Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA
Yukui Luo, Adnan Siraj Rakin, Xiaolin Xu, Deliang Fan
USENIX Security Symposium (USENIX Security), 2021. (Acceptance rate 18.8%) YouTube Link

A Survey of Recent Attacks and Mitigation on FPGA Systems
Shijin Duan, Wenhao Wang, Yukui Luo, Xiaolin Xu
IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2021.

DeepStrike: Remotely-Guided Fault Injection Attacks on DNN Accelerator in Cloud-FPGA
Yukui Luo, Cheng Gongye, Yunsi Fei, and Xiaolin Xu
IEEE/ACM Design Automation Conference (DAC), 2021. (Acceptance Rate: 23%)

SGX-FPGA: Trusted Execution Environment for CPU-FPGA Heterogeneous Architecture
Ke Xia, Yukui Luo, Xiaolin Xu, and Sheng Wei
IEEE/ACM Design Automation Conference (DAC), 2021. (Acceptance Rate: 23%)

FPGAPRO: A Defense Framework Against Crosstalk-Induced Secret Leakage in FPGA
Yukui Luo, Shijin Duan, Xiaolin Xu
ACM Transactions on Design Automation of Electronic Systems (TODAES), 2021.

Constructive Use of Process Variations: Reconfigurable and High-Resolution Delay-Line
Wenhao Wang, Yukui Luo, and Xiaolin Xu
IEEE Design, Automation & Test in Europe (DATE), 2021.

2020

Stealthy-Shutdown: Practical Remote Power Attacks in Multi-Tenant FPGAs
Yukui Luo, Cheng Gongye, Shaolei Ren, Yunsi Fei, and Xiaolin Xu
IEEE International Conference on Computer Design (ICCD), 2020. (Acceptance Rate of full paper: 28%)

A Quantitative Defense Framework against Power Attacks on Multi-tenant FPGA
Yukui Luo, Xiaolin Xu
IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2020 (Acceptance Rate: 24%).

A Dynamic Frequency Scaling Framework AgainstReliability and Security Issues in Multi-tenant FPGA
Yukui Luo, Xiaolin Xu
International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2020. (poster presentation)

A High-Performance and Secure TRNG Based on Chaotic Cellular Automata Topology
Yukui Luo, Wenhao Wang, Scott Best, Yanzhi Wang, Xiaolin Xu
IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), 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, Ken Choi
IEEE Access 8, 105455-105471 (IEEE Access), 2020.

Novel CNN-based AP2D-net accelerator: An area and power efficient solution for real-time applications on mobile FPGA
Shuai Li, Kuangyuan Sun, Yukui Luo, Nandakishor Yadav, Ken Choi
Electronics 9 (5), 832 (Electronics), 2020.

2019

HILL: A Hardware Isolation Framework against Information Leakage on Multi-Tenant FPGA Long-Wires
Yukui Luo, Xiaolin Xu
International Conference on Field-Programmable Technology (FPT), 2019.