Implementation of deep learning neural network for real-time object recognition in OpenCL framework. - Yukui Luo; Shuai Li; Kuangyuan Sun; Raul Renteria; Ken Choi (ISOCC, 2017)

Highly-efficient parallel convolution acceleration by using multiple GPUs. - Kuangyuan Sun; Shuai Li; Yukui Luo; Raul Renteria; Ken Choi (ISOCC, 2017)

HILL: A Hardware Isolation Framework Against Information Leakage on Multi-Tenant FPGA Long-Wires. - Yukui Luo; Xiaolin Xu 001 (FPT, 2019)

A Dynamic Frequency Scaling Framework Against Reliability and Security Issues in Multi-tenant FPGA. - Yukui Luo; Xiaolin Xu 001 (FCCM, 2020)

A Quantitative Defense Framework against Power Attacks on Multi-tenant FPGA. - Yukui Luo; Xiaolin Xu 001 (ICCAD, 2020)

Stealthy-Shutdown: Practical Remote Power Attacks in Multi - Tenant FPGAs. - Yukui Luo; Cheng Gongye; Shaolei Ren; Yunsi Fei; Xiaolin Xu 001 (ICCD, 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)

A High-Performance and Secure TRNG Based on Chaotic Cellular Automata Topology. - Yukui Luo; Wenhao Wang 001; Scott Best; Yanzhi Wang; Xiaolin Xu 001 (IEEE Trans. Circuits Syst., 2020)

DeepStrike: Remotely-Guided Fault Injection Attacks on DNN Accelerator in Cloud-FPGA. - Yukui Luo; Cheng Gongye; Yunsi Fei; Xiaolin Xu 001 (DAC, 2021)

SGX-FPGA: Trusted Execution Environment for CPU-FPGA Heterogeneous Architecture. - Ke Xia; Yukui Luo; Xiaolin Xu 001; Sheng Wei 001 (DAC, 2021)

Constructive Use of Process Variations: Reconfigurable and High-Resolution Delay-Line. - Wenhao Wang 001; Yukui Luo; Xiaolin Xu 001 (DATE, 2021)

A Survey of Recent Attacks and Mitigation on FPGA Systems. - Shijin Duan; Wenhao Wang 001; Yukui Luo; Xiaolin Xu 001 (ISVLSI, 2021)

Deep Neural Network Security From a Hardware Perspective. - Tong Zhou 002; Yuheng Zhang; Shijin Duan; Yukui Luo; Xiaolin Xu 001 (NANOARCH, 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 001; Deliang Fan (USENIX Security Symposium, 2021)

NNReArch: A Tensor Program Scheduling Framework Against Neural Network Architecture Reverse Engineering. - Yukui Luo; Shijin Duan; Cheng Gongye; Yunsi Fei; Xiaolin Xu 001 (FCCM, 2022)

An Integrity Checking Framework for AXI Protocol in Multi-tenant FPGA. - Yukui Luo; Yuheng Zhang; Shijin Duan; Xiaolin Xu 001 (FPGA, 2022)

A Cautionary Note on Building Multi-tenant Cloud-FPGA as a Secure Infrastructure. - Yukui Luo; Yuheng Zhang; Shijin Duan; Xiaolin Xu 001 (FPT, 2022)

FPGAPRO: A Defense Framework Against Crosstalk-Induced Secret Leakage in FPGA. - Yukui Luo; Shijin Duan; Xiaolin Xu 001 (ACM Trans. Design Autom. Electr. Syst., 2022)

HammerDodger: A Lightweight Defense Framework against RowHammer Attack on DNNs. - Cheng Gongye; Yukui Luo; Xiaolin Xu 001; Yunsi Fei (DAC, 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 001; Caiwen Ding (DAC, 2023)

MirrorNet: A TEE-Friendly Framework for Secure On-Device DNN Inference. - Ziyu Liu; Yukui Luo; Shijin Duan; Tong Zhou 002; Xiaolin Xu 001 (ICCAD, 2023)

AutoReP: Automatic ReLU Replacement for Fast Private Network Inference. - Hongwu Peng; Shaoyi Huang; Tong Zhou 002; Yukui Luo; Chenghong Wang; Zigeng Wang; Jiahui Zhao; Xi Xie; Ang Li 006; Tony Geng; Kaleel Mahmood; Wujie Wen; et al. (ICCV, 2023)

NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation. - Tong Zhou 002; Yukui Luo; Shaolei Ren; Xiaolin Xu 001 (ICML, 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 001 (MICRO, 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 001; Wujie Wen; Caiwen Ding (NeurIPS, 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; et al. (CoRR, 2023)

NNSplitter: An Active Defense Solution to DNN Model via Automated Weight Obfuscation. - Tong Zhou 002; Yukui Luo; Shaolei Ren; Xiaolin Xu 001 (CoRR, 2023)

TBNet: A Neural Architectural Defense Framework Facilitating DNN Model Protection in Trusted Execution Environments. - Ziyu Liu; Tong Zhou 002; Yukui Luo; Xiaolin Xu 001 (DAC, 2024)

AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing. - Tong Zhou 002; Jiahui Zhao; Yukui Luo; Xi Xie; Wujie Wen; Caiwen Ding; Xiaolin Xu 001 (ICCAD, 2024)

Side-Channel-Assisted Reverse-Engineering of Encrypted DNN Hardware Accelerator IP and Attack Surface Exploration. - Cheng Gongye; Yukui Luo; Xiaolin Xu 001; Yunsi Fei (SP, 2024)

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 001 (SP, 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 001 (CoRR, 2024)

Differentially Private Learned Indexes. - Jianzhang Du; Tilak Mudgal; Rutvi Rahul Gadre; Yukui Luo; Chenghong Wang (CoRR, 2024)

SPECIAL: Synopsis Assisted Secure Collaborative Analytics. - Chenghong Wang; Lina Qiu; Johes Bater; Yukui Luo (Proc. VLDB Endow., 2024)