Yao Cheng

According to our database, Yao Cheng authored at least 13 papers between 2022 and 2025.

Collaborative distances:

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

2025

DP-Poison: Poisoning Federated Learning under the Cover of Differential Privacy.

Haibin Zheng, Jinyin Chen, Tao Liu, Yao Cheng, Zhao Wang, Yun Wang, Lan Gao, Shouling Ji, Xuhong Zhang

ACM Trans. Priv. Secur., February, 2025

2024

Backdoor Online Tracing With Evolving Graphs.

Chengyu Jia, Jinyin Chen, Shouling Ji, Yao Cheng, Haibin Zheng, Qi Xuan

IEEE Trans. Inf. Forensics Secur., 2024

EdgePro: Edge Deep Learning Model Protection via Neuron Authorization.

Jinyin Chen, Haibin Zheng, Tao Liu, Jiawei Liu, Yao Cheng, Xuhong Zhang, Shouling Ji

IEEE Trans. Dependable Secur. Comput., 2024

A Miss Is as Good as A Mile: Metamorphic Testing for Deep Learning Operators.

Jinyin Chen, Chengyu Jia, Yunjie Yan, Jie Ge, Haibin Zheng, Yao Cheng

Proc. ACM Softw. Eng., 2024

Rethinking the defense against free-rider attack from the perspective of model weight evolving frequency.

Jinyin Chen, Mingjun Li, Tao Liu, Haibin Zheng, Hang Du, Yao Cheng

Inf. Sci., 2024

Query-Efficient Adversarial Attack Against Vertical Federated Graph Learning.

Jinyin Chen, Wenbo Mu, Luxin Zhang, Guohan Huang, Haibin Zheng, Yao Cheng

CoRR, 2024

2023

FedRight: An effective model copyright protection for federated learning.

Jinyin Chen, Mingjun Li, Yao Cheng, Haibin Zheng

Comput. Secur., December, 2023

Excitement surfeited turns to errors: Deep learning testing framework based on excitable neurons.

Haibo Jin, Ruoxi Chen, Haibin Zheng, Jinyin Chen, Yao Cheng, Yue Yu, Tieming Chen, Xianglong Liu

Inf. Sci., August, 2023

Edge Deep Learning Model Protection via Neuron Authorization.

Jinyin Chen, Haibin Zheng, Tao Liu, Rongchang Li, Yao Cheng, Xuhong Zhang, Shouling Ji

CoRR, 2023

2022

DeepMnemonic: Password Mnemonic Generation via Deep Attentive Encoder-Decoder Model.

Yao Cheng, Chang Xu, Zhen Hai, Yingjiu Li

IEEE Trans. Dependable Secur. Comput., 2022

Rethinking the Defense Against Free-rider Attack From the Perspective of Model Weight Evolving Frequency.

Jinyin Chen, Mingjun Li, Tao Liu, Haibin Zheng, Yao Cheng, Chang-Ting Lin

CoRR, 2022

DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity.

Haibo Jin, Ruoxi Chen, Haibin Zheng, Jinyin Chen, Zhenguang Liu, Qi Xuan, Yue Yu, Yao Cheng

CoRR, 2022

NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification.

Haibin Zheng, Zhiqing Chen, Tianyu Du, Xuhong Zhang, Yao Cheng, Shouling Ji, Jingyi Wang, Yue Yu, Jinyin Chen

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022