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Posts by Collection
portfolio
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publications
SocInf: Membership Inference Attacks on Social Media Health Data with Machine Learning
Published in IEEE Transactions on Computational Social Systems, 2019
Gaoyang Liu, Chen Wang, Kai Peng, Haojun Huang, Yutong Li, Wenqing Cheng
Synchronization-Free GPS Spoofing Detection with Crowdsourced Air Traffic Control Data
Published in IEEE International Conference on Mobile Data Management (MDM), 2019
Gaoyang Liu, Rui Zhang, Chen Wang, Ling Liu
MIASec: Enabling Data Indistinguishability Against Membership Inference Attacks in MLaaS
Published in IEEE Transactions on Sustainable Computing, 2019
Chen Wang, Gaoyang Liu, Haojun Huang, Weijie Feng, Kai Peng, Lizhe Wang
GPS Spoofed or Not? Exploiting RSSI and TSS in Crowdsourced Air Traffic Control Data
Published in Distributed and Parallel Databases (Special Issue on Best Papers of MDM 2019), 2020
Gaoyang Liu, Rui Zhang, Yang Yang, Chen Wang, Ling Liu
Keep Your Data Locally: Federated Learning-Based Data Privacy Preservation in Edge Computing
Published in IEEE Network, 2021
Gaoyang Liu, Chen Wang, Xiaoqiang Ma, Yang Yang
Membership Inference Attacks in Black-Box Machine Learning Models (in Chinese)
Published in Journal of Cyber Security, 2021
Gaoyang Liu, Yutong Li, Borui Wan, Chen Wang, Kai Peng
Federaser: Enabling Efficient Client-Level Data Removal From Federated Learning Models
Published in IEEE/ACM International Workshop on Quality of Service (IWQoS), 2021
Gaoyang Liu, Xiaoqiang Ma, Yang Yang, Chen Wang, Jiangchuan Liu
Your Model Trains on My Data? Protecting Intellectual Property of Training Data via Membership Fingerprint Authentication
Published in IEEE Transactions on Information Forensics and Security, 2022
Gaoyang Liu, Tianlong Xu, Xiaoqiang Ma, Chen Wang
Membership Inference Attacks against Machine Learning Models via Prediction Sensitivity
Published in IEEE Transactions on Dependable and Secure Computing, 2022
Lan Liu, Yi Wang, Gaoyang Liu (Corresponding Author), Kai Peng, Chen Wang
Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting The Decision Boundary
Published in IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023
Min Chen, Weizhuo Gao, Gaoyang Liu, Kai Peng, Chen Wang
Knowledge Representation of Training Data with Adversarial Examples Supporting Decision Boundary
Published in IEEE Transactions on Information Forensics and Security, 2023
Zehao Tian, Zixiong Wang, Ahmed M Abdelmoniem, Gaoyang Liu (Corresponding Author), Chen Wang
Safeguarding Cross-Silo Federated Learning with Local Differential Privacy
Published in Digital Communications and Networks, 2023
Chen Wang, Xinkui Wu, Gaoyang Liu, Tianping Deng, Kai Peng, Shaohua Wan
TEAR: Exploring Temporal Evolution of Adversarial Robustness for Membership Inference Attacks Against Federated Learning
Published in IEEE Transactions on Information Forensics and Security, 2023
Gaoyang Liu, Zehao Tian, Jian Chen, Chen Wang, Jiangchuan Liu
Gradient-Leaks: Enabling Black-Box Membership Inference Attacks Against Machine Learning Models
Published in IEEE Transactions on Information Forensics and Security, 2023
Gaoyang Liu, Tianlong Xu, Rui Zhang, Zixiong Wang, Chen Wang, Ling Liu
Targeted Poisoning Attacks against Multimodal Contrastive Learning (in Chinese)
Published in Netinfo Security, 2023
Gaoyang Liu, Weiling Wu, Jinsheng Zhang, Chen Wang
Disentangling Client Contributions: Improving Federated Learning Accuracy in the Presence of Heterogeneous Data
Published in In Proceedings of IEEE ISPA, 2023
Chunming Liu, Daniyal M Alghazzawi, Li Cheng, Gaoyang Liu, Chen Wang, Cheng Zeng, Yang Yang
EgoMUIL: Enhancing Spatio-temporal User Identity Linkage in Location-Based Social Networks with Ego-Mo Hypergraph
Published in IEEE Transactions on Mobile Computing, 2023
Haojun Huang, Fengxiang Ding, Hao Yin, Gaoyang Liu (Corresponding Author), Chen Wang, Dapeng Oliver Wu
FedCSA: Boosting the Convergence Speed of Federated Unlearning under Data Heterogeneity
Published in IEEE International Symposium on Image and Signal Processing and Analysis (ISPA), 2023
Zhen Wang, Daniyal M Alghazzawi, Li Cheng, Gaoyang Liu, Chen Wang, Zeng Cheng, Yang Yang
Manipulating Pre-Trained Encoder for Targeted Poisoning Attacks in Contrastive Learning
Published in IEEE Transactions on Information Forensics and Security, 2024
Jian Chen, Yuan Gao, Gaoyang Liu (Corresponding Author), Ahmed M Abdelmoniem, Chen Wang
Accurate Prediction of Network Distance via Federated Deep Reinforcement Learning
Published in IEEE/ACM Transactions on Networking, 2024
Haojun Huang, Yiming Cai, Geyong Min, Haozhe Wang, Gaoyang Liu (Corresponding Author), Dapeng Oliver Wu
Seeing is Believing: Black-box Membership Inference Attacks Against Retrieval Augmented Generation
Published in preprint, 2024
Yuying Li, Gaoyang Liu (Corresponding Author), Yang Yang, Chen Wang
Few-Shot Camouflaged Object Segmentation
Published in International Joint Conference on Neural Networks (IJCNN), 2024
Ziqiu Wang, Yuying Li, Yang Yang, Yamin Li, Gaoyang Liu
Shielding Sensitive Medical Imaging Data
Published in Nature Machine Intelligence (News & Views), 2024
Gaoyang Liu, Chen Wang, Tian Xia
Membership Inference Attack against Long-Context Large Language Models
Published in preprint, 2024
Zixiong Wang, Gaoyang Liu (Corresponding Author), Yang Yang, Chen Wang
United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories
Published in Neural Information Processing Systems (NeurIPS), 2024
Tianlong Xu, Chen Wang, Gaoyang Liu (Corresponding Author), Yang Yang, Kai Peng, Wei Liu
Unlearning Attacks for Regression Learning
Published in IEEE Transactions on Neural Networks and Learning Systems, 2025
Jian Chen, Wenlong Shi, Wanyu Lin, Chen Wang, Wei Liu, Hailong Sun, Gaoyang Liu
Prototype Surgery: Tailoring Neural Prototypes via Soft Labels for Efficient Machine Unlearning
Published in ACM Conference on Computer and Communications Security (CCS), 2025
Gaoyang Liu, Xijie Wang, Zixiong Wang, Chen Wang, Ahmed M. Abdelmoniem, Desheng Wang
talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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