Changnan Jiang
According to our database1,
Changnan Jiang
authored at least 7 papers
between 2022 and 2024.
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Bibliography
2024
FedDADP: A Privacy-Risk-Adaptive Differential Privacy Protection Method for Federated Android Malware Classifier.
Proceedings of the International Joint Conference on Neural Networks, 2024
Multi-Signal Fusion of Social Diffusion Graph with Bi-Directional Semantic Consistency.
Proceedings of the IEEE International Conference on Acoustics, 2024
FedDRC: A Robust Federated Learning-based Android Malware Classifier under Heterogeneous Distribution.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024
2023
FedDroidMeter: A Privacy Risk Evaluator for FL-Based Android Malware Classification Systems.
Entropy, July, 2023
FedDLM: A Fine-Grained Assessment Scheme for Risk of Sensitive Information Leakage in Federated Learning-based Android Malware Classifier.
Proceedings of the 22nd IEEE International Conference on Trust, 2023
FedDroidADP: An Adaptive Privacy-Preserving Framework for Federated-Learning-Based Android Malware Classification System.
Proceedings of the Knowledge Science, Engineering and Management, 2023
2022
FedHGCDroid: An Adaptive Multi-Dimensional Federated Learning for Privacy-Preserving Android Malware Classification.
Entropy, 2022