Xiangyun Tang

Orcid: 0000-0002-5511-0720

According to our database1, Xiangyun Tang authored at least 35 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2025
Label Inference Attacks against Federated Unlearning.
CoRR, August, 2025

Context-adaptive and QoS-guaranteed flow scheduling optimization in multipath multimedia transmission over MPTCP.
Wirel. Networks, March, 2025

Enforcing Differential Privacy in Federated Learning via Long-Term Contribution Incentives.
IEEE Trans. Inf. Forensics Secur., 2025

ROBY: A Byzantine-Robust and Privacy-Preserving Serverless Federated Learning Framework.
IEEE Trans. Inf. Forensics Secur., 2025

Moving Target Defense Meets Artificial-Intelligence-Driven Network: A Comprehensive Survey.
IEEE Internet Things J., 2025

LGVLM-mIoT: A Lightweight Generative Visual-Language Model for Multilingual IoT Applications.
IEEE Internet Things J., 2025

2024
FedASA: A Personalized Federated Learning With Adaptive Model Aggregation for Heterogeneous Mobile Edge Computing.
IEEE Trans. Mob. Comput., December, 2024

Secure Semantic Communications: Challenges, Approaches, and Opportunities.
IEEE Netw., July, 2024

Psychometric Properties of the Chinese Version of Service Robot Integration Willingness (SRIW) Scale in the Chinese Sample of Adults.
Int. J. Soc. Robotics, January, 2024

Confidence-Aware Sentiment Quantification via Sentiment Perturbation Modeling.
IEEE Trans. Affect. Comput., 2024

Towards Secrecy Energy-Efficient RIS Aided UAV Network: A Lyapunov-Guided Reinforcement Learning Approach.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Energy Efficiency Maximization for Secure Live Video Streaming in UAV Wireless Networks.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

MetaCo-Distillation: A Robust Collaborative Distillation Framework for Multivariate Knowledge.
Proceedings of the IEEE International Conference on Smart City, 2024

Poster: Towards Pub/Sub Multimodal Data Transmission in IoT Environment.
Proceedings of the 22nd Annual International Conference on Mobile Systems, 2024

QoE Maximization for Video Streaming in Cache-Enable Satellite-UAV-Terrestrial Network.
Proceedings of the IEEE International Conference on Communications, 2024

Data-Free Encoder Stealing Attack in Self-supervised Learning.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2024

Style-Specific Music Generation from Image.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2024

DIsFU: Protecting Innocent Clients in Federated Unlearning.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2024

Byzantine-Robust Federated Learning on Non-IID Data via Inversing Artificial Gradients.
Proceedings of the 2024 IEEE Global Communications Conference, 2024

Security and Privacy in Web 3.0
Springer, ISBN: 978-981-97-5751-0, 2024

2023
Blockchains for Artificial Intelligence of Things: A Comprehensive Survey.
IEEE Internet Things J., August, 2023

PILE: Robust Privacy-Preserving Federated Learning Via Verifiable Perturbations.
IEEE Trans. Dependable Secur. Comput., 2023

Patch-Based Transformer for Low-Light Image Enhancement.
Proceedings of the 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2023

MATFL: Defending Against Synergetic Attacks in Federated Learning.
Proceedings of the 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2023

Decentralized Reputation-based Leader Election for Privacy-preserving Federated Learning on Internet of Things.
Proceedings of the 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2023

2022
Secure and Trusted Collaborative Learning Based on Blockchain for Artificial Intelligence of Things.
IEEE Wirel. Commun., 2022

Privacy-preserving Training Algorithm for Naive Bayes Classifiers.
Proceedings of the IEEE International Conference on Communications, 2022

2021
Privacy-Preserving Machine Learning Training in IoT Aggregation Scenarios.
IEEE Internet Things J., 2021

Fully Exploiting Cascade Graphs for Real-time Forwarding Prediction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Secure SVM Training Over Vertically-Partitioned Datasets Using Consortium Blockchain for Vehicular Social Networks.
IEEE Trans. Veh. Technol., 2020

Privacy-Preserving Machine Learning Training in Aggregation Scenarios.
CoRR, 2020

Does forgiveness alleviate depression after being phubbed for emerging adults? The mediating role of self-esteem.
Comput. Hum. Behav., 2020

2019
Privacy-Preserving Support Vector Machine Training Over Blockchain-Based Encrypted IoT Data in Smart Cities.
IEEE Internet Things J., 2019

2018
Privacy-Preserving DDoS Attack Detection Using Cross-Domain Traffic in Software Defined Networks.
IEEE J. Sel. Areas Commun., 2018

When Homomorphic Cryptosystem Meets Differential Privacy: Training Machine Learning Classifier with Privacy Protection.
CoRR, 2018


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