Cheng Zhang

Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations

Haojin Zhu, Minhui Xue, Shaofeng Li, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Countering Adversarial Examples: Combining Input Transformation and Noisy Training

Cheng Zhang, Pan Gao, Pan Gao, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

PDAAA: Progressive Defense Against Adversarial Attacks for Deep Learning-as-a-Service in Internet of Things pdf

Cheng Zhang, Jie Liu, Xi Zheng, 2020, 2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom).

Cryptographic algorithms for privacy-preserving online applications

Chunqiang Hu, Cheng Zhang, Ruinian Li, 2018, Math. Found. Comput..

Generating Adversarial Examples With Shadow Model

Rui Zhang, Cheng Zhang, Hui Xia, 2022, IEEE Transactions on Industrial Informatics.

Deep Learning Defense Method Against Adversarial Attacks

Ling Wang, Cheng Zhang, Jie Liu, 2020, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC).