受强制性开放获取政策约束的文章 - Gaoyang Liu了解详情
无法在其他位置公开访问的文章：4 篇
GPS spoofed or not? Exploiting RSSI and TSS in crowdsourced air traffic control data
G Liu, R Zhang, Y Yang, C Wang, L Liu
Distributed and Parallel Databases 39 (1), 231-257, 2021
强制性开放获取政策： US National Science Foundation, 国家自然科学基金委员会
FedCSA: Boosting the Convergence Speed of Federated Unlearning under Data Heterogeneity
Z Wang, DM Alghazzawi, L Cheng, G Liu, C Wang, Z Cheng, Y Yang
2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2023
强制性开放获取政策： 国家自然科学基金委员会
Design and analysis of a fair, efficient and stable multi-server adaptive streaming protocol
S Zhang, G Liu, J Xu, S Wan
Computers and Electrical Engineering 95, 107371, 2021
强制性开放获取政策： 国家自然科学基金委员会
Disentangling Client Contributions: Improving Federated Learning Accuracy in the Presence of Heterogeneous Data
C Liu, DM Alghazzawi, L Cheng, G Liu, C Wang, C Zeng, Y Yang
2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2023
强制性开放获取政策： 国家自然科学基金委员会
可在其他位置公开访问的文章：20 篇
Federaser: Enabling efficient client-level data removal from federated learning models
G Liu, X Ma, Y Yang, C Wang, J Liu
2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS), 1-10, 2021
强制性开放获取政策： 国家自然科学基金委员会
Recent advances in consensus protocols for blockchain: a survey
S Wan, M Li, G Liu, C Wang
Wireless networks 26, 5579-5593, 2020
强制性开放获取政策： 国家自然科学基金委员会
Classifying transportation mode and speed from trajectory data via deep multi-scale learning
R Zhang, P Xie, C Wang, G Liu, S Wan
Computer Networks 162, 106861, 2019
强制性开放获取政策： 国家自然科学基金委员会
SocInf: Membership inference attacks on social media health data with machine learning
G Liu, C Wang, K Peng, H Huang, Y Li, W Cheng
IEEE Transactions on Computational Social Systems 6 (5), 907-921, 2019
强制性开放获取政策： 国家自然科学基金委员会
Keep your data locally: Federated-learning-based data privacy preservation in edge computing
G Liu, C Wang, X Ma, Y Yang
IEEE Network 35 (2), 60-66, 2021
强制性开放获取政策： 国家自然科学基金委员会
Boundary unlearning: Rapid forgetting of deep networks via shifting the decision boundary
M Chen, W Gao, G Liu, K Peng, C Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
强制性开放获取政策： 国家自然科学基金委员会
A survey of local differential privacy for securing internet of vehicles
P Zhao, G Zhang, S Wan, G Liu, T Umer
The Journal of Supercomputing 76, 8391-8412, 2020
强制性开放获取政策： 国家自然科学基金委员会
Safeguarding cross-silo federated learning with local differential privacy
C Wang, X Wu, G Liu, T Deng, K Peng, S Wan
Digital Communications and Networks 8 (4), 446-454, 2022
强制性开放获取政策： 国家自然科学基金委员会
Membership inference attacks against machine learning models via prediction sensitivity
L Liu, Y Wang, G Liu, K Peng, C Wang
IEEE Transactions on Dependable and Secure Computing 20 (3), 2341-2347, 2022
强制性开放获取政策： 国家自然科学基金委员会
MIASec: Enabling data indistinguishability against membership inference attacks in MLaaS
C Wang, G Liu, H Huang, W Feng, K Peng, L Wang
IEEE Transactions on Sustainable Computing 5 (3), 365-376, 2019
强制性开放获取政策： 国家自然科学基金委员会
On the Performance of -Anonymity Against Inference Attacks With Background Information
P Zhao, H Jiang, C Wang, H Huang, G Liu, Y Yang
IEEE Internet of Things Journal 6 (1), 808-819, 2018
强制性开放获取政策： 国家自然科学基金委员会
Synchronization-free GPS spoofing detection with crowdsourced air traffic control data
G Liu, R Zhang, C Wang, L Liu
2019 20th IEEE International Conference on Mobile Data Management (MDM), 260-268, 2019
强制性开放获取政策： US National Science Foundation, 国家自然科学基金委员会
Your model trains on my data? Protecting intellectual property of training data via membership fingerprint authentication
G Liu, T Xu, X Ma, C Wang
IEEE Transactions on Information Forensics and Security 17, 1024-1037, 2022
强制性开放获取政策： 国家自然科学基金委员会
TEAR: Exploring temporal evolution of adversarial robustness for membership inference attacks against federated learning
G Liu, Z Tian, J Chen, C Wang, J Liu
IEEE Transactions on Information Forensics and Security, 2023
强制性开放获取政策： 国家自然科学基金委员会
Knowledge Representation of Training Data with Adversarial Examples Supporting Decision Boundary
Z Tian, Z Wang, AM Abdelmoniem, G Liu, C Wang
IEEE Transactions on Information Forensics and Security, 2023
强制性开放获取政策： 国家自然科学基金委员会
Gradient-leaks: Enabling black-box membership inference attacks against machine learning models
G Liu, T Xu, R Zhang, Z Wang, C Wang, L Liu
IEEE Transactions on Information Forensics and Security, 2023
强制性开放获取政策： US National Science Foundation, 国家自然科学基金委员会
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