Yukui Luo
Orcid: 0000-0002-5852-4195
According to our database1,
Yukui Luo
authored at least 34 papers
between 2017 and 2024.
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Bibliography
2024
AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing.
CoRR, 2024
SSNet: A Lightweight Multi-Party Computation Scheme for Practical Privacy-Preserving Machine Learning Service in the Cloud.
CoRR, 2024
DeepShuffle: A Lightweight Defense Framework against Adversarial Fault Injection Attacks on Deep Neural Networks in Multi-Tenant Cloud-FPGA.
Proceedings of the IEEE Symposium on Security and Privacy, 2024
Side-Channel-Assisted Reverse-Engineering of Encrypted DNN Hardware Accelerator IP and Attack Surface Exploration.
Proceedings of the IEEE Symposium on Security and Privacy, 2024
TBNet: A Neural Architectural Defense Framework Facilitating DNN Model Protection in Trusted Execution Environments.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024
2023
NNSplitter: An Active Defense Solution to DNN Model via Automated Weight Obfuscation.
CoRR, 2023
RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference.
CoRR, 2023
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference.
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.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023
NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
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.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
2022
ACM Trans. Design Autom. Electr. Syst., 2022
Proceedings of the International Conference on Field-Programmable Technology, 2022
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.
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.
Proceedings of the 30th USENIX Security Symposium, 2021
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2021
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2021
Constructive Use of Process Variations: Reconfigurable and High-Resolution Delay-Line.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
DeepStrike: Remotely-Guided Fault Injection Attacks on DNN Accelerator in Cloud-FPGA.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
2020
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.
IEEE Access, 2020
Proceedings of the 38th IEEE International Conference on Computer Design, 2020
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.
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.
Proceedings of the International Conference on Field-Programmable Technology, 2019
2017
Proceedings of the International SoC Design Conference, 2017
Implementation of deep learning neural network for real-time object recognition in OpenCL framework.
Proceedings of the International SoC Design Conference, 2017