Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks. - Pu Zhao 001; Siyue Wang; Cheng Gongye; Yanzhi Wang; Yunsi Fei; Xue Lin 001 (DAC, 2019)

Evaluating Fault Resiliency of Compressed Deep Neural Networks. - Majid Sabbagh; Cheng Gongye; Yunsi Fei; Yanzhi Wang (ICESS, 2019)

Reverse-Engineering Deep Neural Networks Using Floating-Point Timing Side-Channels. - Cheng Gongye; Yunsi Fei; Thomas Wahl (DAC, 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 001; Thomas Wahl; Yunsi Fei (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)

Correlation Power Analysis and Higher-order Masking Implementation of WAGE. - Yunsi Fei; Guang Gong; Cheng Gongye; Kalikinkar Mandal; Raghvendra Rohit 001; Tianhong Xu; Yunjie Yi; Nusa Zidaric (IACR Cryptol. ePrint Arch., 2020)

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

A Cross-Platform Cache Timing Attack Framework via Deep Learning. - Ruyi Ding; Ziyue Zhang; Xiang Zhang; Cheng Gongye; Yunsi Fei; Aidong Adam Ding (DATE, 2022)

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)

Protected ECC Still Leaks: A Novel Differential-Bit Side-channel Power Attack on ECDH and Countermeasures. - Tianhong Xu; Cheng Gongye; Yunsi Fei (ACM Great Lakes Symposium on VLSI, 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 (ACM Great Lakes Symposium on VLSI, 2022)

EMShepherd: Detecting Adversarial Samples via Side-channel Leakage. - Ruyi Ding; Cheng Gongye; Siyue Wang; A. Adam Ding; Yunsi Fei (AsiaCCS, 2023)

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

An Energy-Efficient Neural Network Accelerator with Improved Protections Against Fault-Attacks. - Saurav Maji; Kyungmi Lee; Cheng Gongye; Yunsi Fei; Anantha P. Chandrakasan (ESSCIRC, 2023)

One Flip Away from Chaos: Unraveling Single Points of Failure in Quantized DNN s. - Cheng Gongye; Yunsi Fei (HOST, 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)

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, 2024)

MACPruning: Dynamic Operation Pruning to Mitigate Side-Channel DNN Model Extraction. - Ruyi Ding; Cheng Gongye; Davis Ranney; Aidong Adam Ding; Yunsi Fei (HOST, 2025)