Heatmap-Aware Low-Cost Design to Resist Adversarial Attacks: Work-in-Progress. - Zhiyuan He 001; Wei Jiang 016; Jinyu Zhan; Xupeng Wang 001; Xiangyu Wen (CODES+ISSS, 2020)

Interpretability Derived Backdoor Attacks Detection in Deep Neural Networks: Work-in-Progress. - Xiangyu Wen; Wei Jiang 016; Jinyu Zhan; Xupeng Wang 001; Zhiyuan He 001 (EMSOFT, 2020)

ArchNet: Data Hiding Model in Distributed Machine Learning System. - Kaiyan Chang; Wei Jiang 016; Zicheng Gong; Xiangyu Wen; Zhiyuan He 001; Weijia Pan (CoRR, 2020)

A Low-Cost Image Encryption Method to Prevent Model Stealing of Deep Neural Network. - Wei Jiang 016; Zicheng Gong; Jinyu Zhan; Zhiyuan He 001; Weijia Pan (J. Circuits Syst. Comput., 2020)

Optimized co-scheduling of mixed-precision neural network accelerator for real-time multitasking applications. - Wei Jiang 016; Ziwei Song; Jinyu Zhan; Zhiyuan He 001; Xiangyu Wen; Ke Jiang (J. Syst. Archit., 2020)

Attack-Aware Detection and Defense to Resist Adversarial Examples. - Wei Jiang 016; Zhiyuan He 001; Jinyu Zhan; Weijia Pan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

Research Progress and Challenges on Application-Driven Adversarial Examples: A Survey. - Wei Jiang 016; Zhiyuan He 001; Jinyu Zhan; Weijia Pan; Deepak Adhikari (ACM Trans. Cyber Phys. Syst., 2021)

A Comprehensive Survey on Imputation of Missing Data in Internet of Things. - Deepak Adhikari; Wei Jiang 016; Jinyu Zhan; Zhiyuan He 001; Danda B. Rawat; Uwe Aickelin; Hadi Akbarzade Khorshidi (ACM Comput. Surv., 2023)