Gaoyang Liu

According to our database, Gaoyang Liu authored at least 33 papers between 2013 and 2024.

Collaborative distances:

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

2024

Gradient-Leaks: Enabling Black-Box Membership Inference Attacks Against Machine Learning Models.

Gaoyang Liu, Tianlong Xu, Rui Zhang, Zixiong Wang, Chen Wang, Ling Liu

IEEE Trans. Inf. Forensics Secur., 2024

Manipulating Pre-Trained Encoder for Targeted Poisoning Attacks in Contrastive Learning.

Jian Chen, Yuan Gao, Gaoyang Liu, Ahmed M. Abdelmoniem, Chen Wang

IEEE Trans. Inf. Forensics Secur., 2024

2023

Knowledge Representation of Training Data With Adversarial Examples Supporting Decision Boundary.

Zehao Tian, Zixiong Wang, Ahmed M. Abdelmoniem, Gaoyang Liu, Chen Wang

IEEE Trans. Inf. Forensics Secur., 2023

TEAR: Exploring Temporal Evolution of Adversarial Robustness for Membership Inference Attacks Against Federated Learning.

Gaoyang Liu, Zehao Tian, Jian Chen, Chen Wang, Jiangchuan Liu

IEEE Trans. Inf. Forensics Secur., 2023

Membership Inference Attacks Against Machine Learning Models via Prediction Sensitivity.

Lan Liu, Yi Wang, Gaoyang Liu, Kai Peng, Chen Wang

IEEE Trans. Dependable Secur. Comput., 2023

Boundary Unlearning.

Min Chen, Weizhuo Gao, Gaoyang Liu, Kai Peng, Chen Wang

CoRR, 2023

Equivalence of MTS and CMR methods associated with the normal form of Hopf bifurcation for delayed reaction-diffusion equations.

Yuting Ding, Gaoyang Liu, Liyuan Zheng

Commun. Nonlinear Sci. Numer. Simul., 2023

AIoT-Empowered Smart Grid Energy Management with Distributed Control and Non-Intrusive Load Monitoring.

Linfeng Shen, Feng Wang, Miao Zhang, Jiangchuan Liu, Gaoyang Liu, Xiaoyi Fan

Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary.

Min Chen, Weizhuo Gao, Gaoyang Liu, Kai Peng, Chen Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

FedCSA: Boosting the Convergence Speed of Federated Unlearning under Data Heterogeneity.

Zhen Wang, Daniyal M. Alghazzawi, Li Cheng, Gaoyang Liu, Chen Wang, Zeng Cheng, Yang Yang

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

Disentangling Client Contributions: Improving Federated Learning Accuracy in the Presence of Heterogeneous Data.

Chunming Liu, Daniyal M. Alghazzawi, Li Cheng, Gaoyang Liu, Chen Wang, Cheng Zeng, Yang Yang

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

2022

Your Model Trains on My Data? Protecting Intellectual Property of Training Data via Membership Fingerprint Authentication.

Gaoyang Liu, Tianlong Xu, Xiaoqiang Ma, Chen Wang

IEEE Trans. Inf. Forensics Secur., 2022

Safeguarding cross-silo federated learning with local differential privacy.

Chen Wang, Xinkui Wu, Gaoyang Liu, Tianping Deng, Kai Peng, Shaohua Wan

Digit. Commun. Networks, 2022

Physical design for driven device of Z-FFR based on Machine Learning.

Wenbin Xiong, Zhangchun Tang, Pan Liu, Gaoyang Liu, Fanyu Qu, Qiang Gao, Chencheng Liu

Proceedings of the 15th International Symposium on Computational Intelligence and Design, 2022

Physical design of fusion based on generative adversarial networks.

Wenbin Xiong, Pan Liu, Zhangchun Tang, Yan Shi, Chencheng Liu, Fanyu Qu, Gaoyang Liu, Qiang Gao

Proceedings of the 5th International Conference on Algorithms, 2022

2021

Keep Your Data Locally: Federated-Learning-Based Data Privacy Preservation in Edge Computing.

Gaoyang Liu, Chen Wang, Xiaoqiang Ma, Yang Yang

IEEE Netw., 2021

GPS spoofed or not? Exploiting RSSI and TSS in crowdsourced air traffic control data.

Gaoyang Liu, Rui Zhang, Yang Yang, Chen Wang, Ling Liu

Distributed Parallel Databases, 2021

Design and analysis of a fair, efficient and stable multi-server adaptive streaming protocol.

Shengkai Zhang, Gaoyang Liu, Ji Xu, Shaohua Wan

Comput. Electr. Eng., 2021

ML-Stealer: Stealing Prediction Functionality of Machine Learning Models with Mere Black-Box Access.

Gaoyang Liu, Shijie Wang, Borui Wan, Zekun Wang, Chen Wang

Proceedings of the 20th IEEE International Conference on Trust, 2021

FedEraser: Enabling Efficient Client-Level Data Removal from Federated Learning Models.

Gaoyang Liu, Xiaoqiang Ma, Yang Yang, Chen Wang, Jiangchuan Liu

Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

2020

Recent advances in consensus protocols for blockchain: a survey.

Shaohua Wan, Meijun Li, Gaoyang Liu, Chen Wang

Wirel. Networks, 2020

MIASec: Enabling Data Indistinguishability Against Membership Inference Attacks in MLaaS.

Chen Wang, Gaoyang Liu, Haojun Huang, Weijie Feng, Kai Peng, Lizhe Wang

IEEE Trans. Sustain. Comput., 2020

A survey of local differential privacy for securing internet of vehicles.

Ping Zhao, Guanglin Zhang, Shaohua Wan, Gaoyang Liu, Tariq Umer

J. Supercomput., 2020

Federated Unlearning.

Gaoyang Liu, Yang Yang, Xiaoqiang Ma, Chen Wang, Jiangchuan Liu

CoRR, 2020

AFA: Adversarial fingerprinting authentication for deep neural networks.

Jingjing Zhao, Qingyue Hu, Gaoyang Liu, Xiaoqiang Ma, Fei Chen, Mohammad Mehedi Hassan

Comput. Commun., 2020

Blockchain consensuses and incentives.

Meijun Li, Gaoyang Liu, Jialin Tian, Chen Wang, Yang Yang, Shaohua Wan

Proceedings of the Blockchains for Network Security: Principles, 2020

2019

SocInf: Membership Inference Attacks on Social Media Health Data With Machine Learning.

Gaoyang Liu, Chen Wang, Kai Peng, Haojun Huang, Yutong Li, Wenqing Cheng

IEEE Trans. Comput. Soc. Syst., 2019

On the Performance of $k$ -Anonymity Against Inference Attacks With Background Information.

Ping Zhao, Hongbo Jiang, Chen Wang, Haojun Huang, Gaoyang Liu, Yang Yang

IEEE Internet Things J., 2019

Classifying transportation mode and speed from trajectory data via deep multi-scale learning.

Rui Zhang, Peng Xie, Chen Wang, Gaoyang Liu, Shaohua Wan

Comput. Networks, 2019

Synchronization-Free GPS Spoofing Detection with Crowdsourced Air Traffic Control Data.

Gaoyang Liu, Rui Zhang, Chen Wang, Ling Liu

Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019

2018

Understanding Mobility via Deep Multi-Scale Learning.

Rui Zhang, Peng Xie, Chen Wang, Gaoyang Liu, Shaohua Wan

Proceedings of the 2018 International Conference on Identification, 2018

2013

Adaptive Consensus of Multi-agents in Jointly Connected Networks.

Gaoyang Liu, Hui Yu, Yi Zhang

Proceedings of the Information Computing and Applications - 4th International Conference, 2013

Adaptive synchronization of multi-agent systems with unknown nonlinear dynamics.

Gaoyang Liu, Hui Yu, Xiaohua Xia

Proceedings of the 10th IEEE International Conference on Control and Automation, 2013