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2020 – today
- 2024
[c25]Ziyu Liu, Tong Zhou, Yukui Luo, Xiaolin Xu:
TBNet: A Neural Architectural Defense Framework Facilitating DNN Model Protection in Trusted Execution Environments. DAC 2024: 310:1-310:6- [c24]Yukui Luo, Adnan Siraj Rakin, Deliang Fan, Xiaolin Xu:
DeepShuffle: A Lightweight Defense Framework against Adversarial Fault Injection Attacks on Deep Neural Networks in Multi-Tenant Cloud-FPGA. SP 2024: 3293-3310 - [c23]Cheng Gongye, Yukui Luo, Xiaolin Xu, Yunsi Fei:
Side-Channel-Assisted Reverse-Engineering of Encrypted DNN Hardware Accelerator IP and Attack Surface Exploration. SP 2024: 4678-4695 - [i13]Chenghong Wang, Lina Qiu, Johes Bater, Yukui Luo:
SPECIAL: Synopsis Assisted Secure Collaborative Analytics. CoRR abs/2404.18388 (2024) - [i12]Ziyu Liu, Tong Zhou, Yukui Luo, Xiaolin Xu:
TBNet: A Neural Architectural Defense Framework Facilitating DNN Model Protection in Trusted Execution Environments. CoRR abs/2405.03974 (2024) - [i11]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 abs/2406.02629 (2024) - [i10]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 abs/2407.05633 (2024) - 2023
- [c22]Cheng Gongye, Yukui Luo, Xiaolin Xu, Yunsi Fei:
HammerDodger: A Lightweight Defense Framework against RowHammer Attack on DNNs. DAC 2023: 1-6 - [c21]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: 1-6 - [c20]Ziyu Liu, Yukui Luo, Shijin Duan, Tong Zhou, Xiaolin Xu:
MirrorNet: A TEE-Friendly Framework for Secure On-Device DNN Inference. ICCAD 2023: 1-9 - [c19]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: 5155-5165 - [c18]Tong Zhou, Yukui Luo, Shaolei Ren, Xiaolin Xu:
NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation. ICML 2023: 42614-42624 - [c17]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: 628-640 - [c16]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 - [i9]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 abs/2302.02292 (2023) - [i8]Tong Zhou, Yukui Luo, Shaolei Ren, Xiaolin Xu:
NNSplitter: An Active Defense Solution to DNN Model via Automated Weight Obfuscation. CoRR abs/2305.00097 (2023) - [i7]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 abs/2306.15513 (2023) - [i6]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 abs/2308.10134 (2023) - [i5]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 abs/2309.14331 (2023) - [i4]Ziyu Liu, Yukui Luo, Shijin Duan, Tong Zhou, Xiaolin Xu:
MirrorNet: A TEE-Friendly Framework for Secure On-device DNN Inference. CoRR abs/2311.09489 (2023) - 2022
- [j3]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): 24:1-24:31 (2022) - [c15]Yukui Luo, Shijin Duan, Cheng Gongye, Yunsi Fei, Xiaolin Xu:
NNReArch: A Tensor Program Scheduling Framework Against Neural Network Architecture Reverse Engineering. FCCM 2022: 1-9 - [c14]Yukui Luo, Yuheng Zhang, Shijin Duan, Xiaolin Xu:
An Integrity Checking Framework for AXI Protocol in Multi-tenant FPGA. FPGA 2022: 155 - [c13]Yukui Luo, Yuheng Zhang, Shijin Duan, Xiaolin Xu:
A Cautionary Note on Building Multi-tenant Cloud-FPGA as a Secure Infrastructure. FPT 2022: 1-6 - [i3]Yukui Luo, Shijin Duan, Cheng Gongye, Yunsi Fei, Xiaolin Xu:
NNReArch: A Tensor Program Scheduling Framework Against Neural Network Architecture Reverse Engineering. CoRR abs/2203.12046 (2022) - 2021
- [c12]Yukui Luo, Cheng Gongye, Yunsi Fei, Xiaolin Xu:
DeepStrike: Remotely-Guided Fault Injection Attacks on DNN Accelerator in Cloud-FPGA. DAC 2021: 295-300 - [c11]Ke Xia, Yukui Luo, Xiaolin Xu, Sheng Wei:
SGX-FPGA: Trusted Execution Environment for CPU-FPGA Heterogeneous Architecture. DAC 2021: 301-306 - [c10]Wenhao Wang, Yukui Luo, Xiaolin Xu:
Constructive Use of Process Variations: Reconfigurable and High-Resolution Delay-Line. DATE 2021: 392-395 - [c9]Shijin Duan, Wenhao Wang, Yukui Luo, Xiaolin Xu:
A Survey of Recent Attacks and Mitigation on FPGA Systems. ISVLSI 2021: 284-289 - [c8]Tong Zhou, Yuheng Zhang, Shijin Duan, Yukui Luo, Xiaolin Xu:
Deep Neural Network Security From a Hardware Perspective. NANOARCH 2021: 1-6 - [c7]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: 1919-1936 - [i2]Yukui Luo, Cheng Gongye, Yunsi Fei, Xiaolin Xu:
DeepStrike: Remotely-Guided Fault Injection Attacks on DNN Accelerator in Cloud-FPGA. CoRR abs/2105.09453 (2021) - 2020
- [j2]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: 105455-105471 (2020) - [j1]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. 67-I(12): 4970-4983 (2020) - [c6]Yukui Luo, Xiaolin Xu:
A Dynamic Frequency Scaling Framework Against Reliability and Security Issues in Multi-tenant FPGA. FCCM 2020: 210 - [c5]Yukui Luo, Xiaolin Xu:
A Quantitative Defense Framework against Power Attacks on Multi-tenant FPGA. ICCAD 2020: 64:1-64:9 - [c4]Yukui Luo, Cheng Gongye, Shaolei Ren, Yunsi Fei, Xiaolin Xu:
Stealthy-Shutdown: Practical Remote Power Attacks in Multi - Tenant FPGAs. ICCD 2020: 545-552 - [i1]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 abs/2011.03006 (2020)
2010 – 2019
- 2019
- [c3]Yukui Luo, Xiaolin Xu:
HILL: A Hardware Isolation Framework Against Information Leakage on Multi-Tenant FPGA Long-Wires. FPT 2019: 331-334 - 2017
- [c2]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: 298-299 - [c1]Kuangyuan Sun, Shuai Li, Yukui Luo, Raul Renteria, Ken Choi:
Highly-efficient parallel convolution acceleration by using multiple GPUs. ISOCC 2017: 300-301
Coauthor Index
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last updated on 2024-11-14 00:55 CET by the dblp team
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