| Privacy-preserving support vector machine training over blockchain-based encrypted IoT data in smart cities M Shen, X Tang, L Zhu, X Du, M Guizani IEEE Internet of Things Journal 6 (5), 7702-7712, 2019 | 443 | 2019 |
| Privacy-preserving DDoS attack detection using cross-domain traffic in software defined networks L Zhu, X Tang, M Shen, X Du, M Guizani IEEE Journal on Selected Areas in Communications 36 (3), 628-643, 2018 | 119 | 2018 |
| Secure SVM training over vertically-partitioned datasets using consortium blockchain for vehicular social networks M Shen, J Zhang, L Zhu, K Xu, X Tang IEEE Transactions on Vehicular Technology 69 (6), 5773-5783, 2019 | 85 | 2019 |
| Fully Exploiting Cascade Graphs for Real-time Forwarding Prediction X Tang, D Liao, W Huang, L Zhu, M Shen, J Xu AAAI 2021 conference, 2021 | 32 | 2021 |
| Privacy-preserving machine learning training in IoT aggregation scenarios L Zhu, X Tang, M Shen, F Gao, J Zhang, X Du IEEE Internet of Things Journal 8 (15), 12106-12118, 2021 | 29 | 2021 |
| Secure and trusted collaborative learning based on blockchain for artificial intelligence of things X Tang, L Zhu, M Shen, J Peng, J Kang, D Niyato, AA Abd El-Latif IEEE Wireless Communications 29 (3), 14-22, 2022 | 22 | 2022 |
| Pile: Robust privacy-preserving federated learning via verifiable perturbations X Tang, M Shen, Q Li, L Zhu, T Xue, Q Qu IEEE Transactions on Dependable and Secure Computing 20 (6), 5005-5023, 2023 | 20 | 2023 |
| Blockchains for artificial intelligence of things: a comprehensive survey M Shen, A Gu, J Kang, X Tang, X Lin, L Zhu, D Niyato IEEE Internet of Things Journal 10 (16), 14483-14506, 2023 | 17 | 2023 |
| Secure semantic communications: Challenges, approaches, and opportunities M Shen, J Wang, H Du, D Niyato, X Tang, J Kang, Y Ding, L Zhu IEEE Network, 2023 | 9 | 2023 |
| When homomorphic cryptosystem meets differential privacy: training machine learning classifier with privacy protection X Tang, L Zhu, M Shen, X Du arXiv preprint arXiv:1812.02292, 2018 | 9 | 2018 |
| Confidence-aware sentiment quantification via sentiment perturbation modeling X Tang, D Liao, M Shen, L Zhu, S Huang, G Li, H Man, J Xu IEEE Transactions on Affective Computing, 2023 | 6 | 2023 |
| Poster: Towards Pub/Sub Multimodal Data Transmission in IoT Environment X Liu, C Wang, X Qu, C Xu, X Tang, S Jiang Proceedings of the 22nd Annual International Conference on Mobile Systems …, 2024 | | 2024 |
| Towards Secrecy Energy-Efficient RIS Aided UAV Network: A Lyapunov-Guided Reinforcement Learning Approach Y Yao, J Miao, T Zhang, X Tang, J Kang, D Niyato 2024 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2024 | | 2024 |
| CSIM: A Fast Community Detection Algorithm Based on Structure Information Maximization Y Liu, W Liu, X Tang, H Yin, P Yin, X Xu, Y Wang Electronics 13 (6), 1119, 2024 | | 2024 |
| RadiantVisions: Illuminating Low-Light Imagery with a Multi-Scale Branch Network Y Zhang, S Jiang, X Tang Electronics 13 (4), 788, 2024 | | 2024 |
| MATFL: Defending Against Synergetic Attacks in Federated Learning W Yang, L Peng, X Tang, Y Weng 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE …, 2023 | | 2023 |
| Patch-Based Transformer for Low-Light Image Enhancement Y Zhang, S Jiang, X Tang 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE …, 2023 | | 2023 |
| Decentralized Reputation-based Leader Election for Privacy-preserving Federated Learning on Internet of Things L Peng, X Tang, C Li, Y Xiao, T Zhang, Y Weng 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE …, 2023 | | 2023 |
| Exploring the Impact of Non-IID on Federated Learning M Li, X Tang, S Chen, Y Weng, L Peng, W Yang 2023 International Conference on Blockchain Technology and Information …, 2023 | | 2023 |
| Privacy-preserving Training Algorithm for Naive Bayes Classifiers R Wang, X Tang, M Shen, L Zhu ICC 2022-IEEE International Conference on Communications, 5639-5644, 2022 | | 2022 |
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