An Inductively Filtered Multiwinding Rectifier Transformer and Its Application in Industrial DC Power Supply System. - Yong Li 016; Fanghong Yao; Yijia Cao; Wenye Liu; Fang Liu 014; Sijia Hu; Longfu Luo; Zhiwen Zhang; Yuehui Chen; Guandong Zhou; Christian Rehtanz (IEEE Trans. Ind. Electron., 2016)

A fast online sequential learning accelerator for IoT network intrusion detection: work-in-progress. - Hantao Huang; Suleman Khalid Rai; Wenye Liu; Hao Yu 001 (CODES+ISSS, 2017)

Active IC Metering of Digital Signal Processing Subsystem with Two-Tier Activation for Secure Split Test. - Sumedh Somnath Dhabu; Yue Zheng; Wenye Liu; Chip-Hong Chang (ISCAS, 2018)

Vulnerability Analysis on Noise-Injection Based Hardware Attack on Deep Neural Networks. - Wenye Liu; Si Wang; Chip-Hong Chang (AsianHOST, 2019)

Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection. - Si Wang; Wenye Liu; Chip-Hong Chang (AsianHOST, 2019)

Analysis of Circuit Aging on Accuracy Degradation of Deep Neural Network Accelerator. - Wenye Liu; Chip-Hong Chang (ISCAS, 2019)

A 34-FPS 698-GOP/s/W Binarized Deep Neural Network-Based Natural Scene Text Interpretation Accelerator for Mobile Edge Computing. - Yixing Li; Zichuan Liu; Wenye Liu; Yu Jiang 004; Yongliang Wang; Wang Ling Goh; Hao Yu 001; Fengbo Ren (IEEE Trans. Ind. Electron., 2019)

Imperceptible Misclassification Attack on Deep Learning Accelerator by Glitch Injection. - Wenye Liu; Chip-Hong Chang; Fan Zhang 010; Xiaoxuan Lou (DAC, 2020)

Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs. - Si Wang; Wenye Liu; Chip-Hong Chang (ISCAS, 2020)

A Forward Error Compensation Approach for Fault Resilient Deep Neural Network Accelerator Design. - Wenye Liu; Chip-Hong Chang (ASHES@CCS, 2021)

Research on Defect Intelligent Identification System Based on Cloud-Fog-Edge Cooperation for UAV Electric Power Inspection. - Wenye Liu; Haiming Xu; Kegui Guo; Nianguo Liu; Xuming Tang; Jianghui Meng; Cifu Zhan; Luyao Li; Pin Lu (ICBDS, 2021)

Two Sides of the Same Coin: Boons and Banes of Machine Learning in Hardware Security. - Wenye Liu; Chip-Hong Chang; Xueyang Wang; Chen Liu 013; Jason M. Fung; Mohammad Ebrahimabadi; Naghmeh Karimi; Xingyu Meng; Kanad Basu (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network. - Si Wang; Wenye Liu; Chip-Hong Chang (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

Stealthy and Robust Glitch Injection Attack on Deep Learning Accelerator for Target With Variational Viewpoint. - Wenye Liu; Chip-Hong Chang; Fan Zhang 010 (IEEE Trans. Inf. Forensics Secur., 2021)

Deep Texture-Depth-Based Attention for Face Recognition on IoT Devices. - Yuxin Lin; Wenye Liu; Chip-Hong Chang (APCCAS, 2022)

A Practical Man-in-the-Middle Attack on Deep Learning Edge Device by Sparse Light Strip Injection into Camera Data Lane. - Wenye Liu; Weiyang He; Bowen Hu; Chip-Hong Chang (SOCC, 2022)

Inconspicuous Data Augmentation Based Backdoor Attack on Deep Neural Networks. - Chaohui Xu; Wenye Liu; Yue Zheng; Si Wang; Chip-Hong Chang (SOCC, 2022)

A Lightweight PUF-based Secure Group Key Agreement Protocol for Wireless Sensor Networks. - Yue Zheng; Wenye Liu; Chip-Hong Chang (ISCAS, 2023)

PUF-Based Mutual Authentication and Key Exchange Protocol for Peer-to-Peer IoT Applications. - Yue Zheng; Wenye Liu; Chongyan Gu; Chip-Hong Chang (IEEE Trans. Dependable Secur. Comput., 2023)

An Imperceptible Data Augmentation Based Blackbox Clean-Label Backdoor Attack on Deep Neural Networks. - Chaohui Xu; Wenye Liu; Yue Zheng; Si Wang; Chip-Hong Chang (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

Efficient Fast Additive Homomorphic Encryption Cryptoprocessor for Privacy-Preserving Federated Learning Aggregation. - Wenye Liu; Nazim Altar Koca; Chip-Hong Chang (DATE, 2024)

Live Demonstration: Man-in-the-Middle Attack on Edge Artificial Intelligence. - Bowen Hu; Weiyang He; Si Wang; Wenye Liu; Chip-Hong Chang (ISCAS, 2024)