Cheng Gongye

According to our database, Cheng Gongye authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

An Energy-Efficient Neural Network Accelerator With Improved Resilience Against Fault Attacks.

Saurav Maji, Kyungmi Lee, Cheng Gongye, Yunsi Fei, Anantha P. Chandrakasan

IEEE J. Solid State Circuits, September, 2024

Side-Channel-Assisted Reverse-Engineering of Encrypted DNN Hardware Accelerator IP and Attack Surface Exploration.

Cheng Gongye, Yukui Luo, Xiaolin Xu, Yunsi Fei

Proceedings of the IEEE Symposium on Security and Privacy, 2024

One Flip Away from Chaos: Unraveling Single Points of Failure in Quantized DNN s.

Cheng Gongye, Yunsi Fei

Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2024

2023

An Energy-Efficient Neural Network Accelerator with Improved Protections Against Fault-Attacks.

Saurav Maji, Kyungmi Lee, Cheng Gongye, Yunsi Fei, Anantha P. Chandrakasan

Proceedings of the 49th IEEE European Solid State Circuits Conference, 2023

HammerDodger: A Lightweight Defense Framework against RowHammer Attack on DNNs.

Cheng Gongye, Yukui Luo, Xiaolin Xu, Yunsi Fei

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

EMShepherd: Detecting Adversarial Samples via Side-channel Leakage.

Ruyi Ding, Cheng Gongye, Siyue Wang, A. Adam Ding, Yunsi Fei

Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

2022

Ran$Net: An Anti-Ransomware Methodology based on Cache Monitoring and Deep Learning.

Xiang Zhang, Ziyue Zhang, Ruyi Ding, Cheng Gongye, Aidong Adam Ding, Yunsi Fei

Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

Protected ECC Still Leaks: A Novel Differential-Bit Side-channel Power Attack on ECDH and Countermeasures.

Tianhong Xu, Cheng Gongye, Yunsi Fei

Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

NNReArch: A Tensor Program Scheduling Framework Against Neural Network Architecture Reverse Engineering.

Yukui Luo, Shijin Duan, Cheng Gongye, Yunsi Fei, Xiaolin Xu

Proceedings of the 30th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2022

A Cross-Platform Cache Timing Attack Framework via Deep Learning.

Ruyi Ding, Ziyue Zhang, Xiang Zhang, Cheng Gongye, Yunsi Fei, Aidong Adam Ding

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

DeepStrike: Remotely-Guided Fault Injection Attacks on DNN Accelerator in Cloud-FPGA.

Yukui Luo, Cheng Gongye, Yunsi Fei, Xiaolin Xu

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

Correlation Power Analysis and Higher-order Masking Implementation of WAGE.

Yunsi Fei, Guang Gong, Cheng Gongye, Kalikinkar Mandal, Raghvendra Rohit, Tianhong Xu, Yunjie Yi, Nusa Zidaric

IACR Cryptol. ePrint Arch., 2020

Stealthy-Shutdown: Practical Remote Power Attacks in Multi - Tenant FPGAs.

Yukui Luo, Cheng Gongye, Shaolei Ren, Yunsi Fei, Xiaolin Xu

Proceedings of the 38th IEEE International Conference on Computer Design, 2020

New Passive and Active Attacks on Deep Neural Networks in Medical Applications.

Cheng Gongye, Hongjia Li, Xiang Zhang, Majid Sabbagh, Geng Yuan, Xue Lin, Thomas Wahl, Yunsi Fei

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

Reverse-Engineering Deep Neural Networks Using Floating-Point Timing Side-Channels.

Cheng Gongye, Yunsi Fei, Thomas Wahl

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

Evaluating Fault Resiliency of Compressed Deep Neural Networks.

Majid Sabbagh, Cheng Gongye, Yunsi Fei, Yanzhi Wang

Proceedings of the 15th IEEE International Conference on Embedded Software and Systems, 2019

Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks.

Pu Zhao, Siyue Wang, Cheng Gongye, Yanzhi Wang, Yunsi Fei, Xue Lin

Proceedings of the 56th Annual Design Automation Conference 2019, 2019