Publications

Published in conferences and journals, 2024

• Huang, J., Roos, S., et al. On Quantifying the Gradient Inversion Risk of Data Reuse in Federated Learning Systems. In the 43rd International Symposium on Reliable Distributed Systems (SRDS 2024, CORE: B).

Published in conferences and journals, 2023

• Huang, J., Zhao, Z., et al. Fabricated Flips: Poisoning Federated Learning without Data. In the 53th International Conference on Dependable Systems and Networks (DSN 2023, CORE: A).
• Huang, J., Hong, C., et al. Maverick Matters: Client Contribution and Selection in Federated Learning. In the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2023, CORE: A).
• Zhao, Z.^eq, Huang, J.^eq, et al. Defending Against Free-Riders Attacks in Distributed Generative Adversarial Networks. In the 27th International Conference on Financial Cryptography and Data Security (FC 2023, CORE: A).
• Hong, C., Huang, J., et al. Exploring and Exploiting Data-Free Model Stealing. In the 18th the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023, CORE: A)

Published in conferences and journals, 2022

• Huang, J., Hong, C., et al. Tackling mavericks in federated learning via adaptive client selection strategy. In the Association for the Advancement of Artificial Intelligence (AAAI 2022, CORE: A^*) International Workshop on Trustable, Verifiable and Auditable Federated Learning.
• Xu, J., Hong, C., Huang, J., et al. Agic: Approximate gradient inversion attack on federated learning. In the 41st International Symposium on Reliable Distributed Systems (SRDS 2022, CORE: B).

Published in conferences and journals, 2020

• Huang, J., Talbi, R., et al. An Exploratory Analysis on Users’ Contributions in Federated Learning. In IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (TPS 2020).
• Lei, K., Du, M., Huang, J., & Jin, T. Groupchain: Towards a scalable public blockchain in fog computing of IoT services computing. in IEEE Transactions on Services Computing (TSC, CORE: A^*).

Published in conferences and journals, 2019

• Huang, J., Du, M., et al. Attention based Updates Aggregation in Federated Learning. In the 28th International Joint Conference on Artificial Intelligence (CORE: A^*) workshop on Federated Machine Learning (IJCAI’FL 19).
• Huang, J., Lei, K., et al. Survey on Blockchain Incentive Mechanism. In the 5th International Conference of Pioneering Computer Scientists, Engineers and Educators (ICPCSEE 2019).
• Shen, Y. Huang J.¹, et al. Discovering Medical Entity Relations from Texts using Dependency Information. In the 28th International Joint Conference on Artificial Intelligence (CORE: A^*) workshop on Agent-based Complex Automated Negotiations (IJCAI’ACAN 19)

Published in conferences and journals, 2018

• Lei, K., Huang, J.¹, et al. Semantic Similarity Measures to Disambiguate Terms in Medical Text. In the 25th International Conference on Neural Information Processing (ICONIP 2018, CORE: B).