Jiyue Huang

According to our database, Jiyue Huang authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Gradient Inversion of Federated Diffusion Models.

Jiyue Huang, Chi Hong, Lydia Y. Chen, Stefanie Roos

CoRR, 2024

SFDDM: Single-fold Distillation for Diffusion models.

Chi Hong, Jiyue Huang, Robert Birke, Dick H. J. Epema, Stefanie Roos, Lydia Y. Chen

CoRR, 2024

On Quantifying the Gradient Inversion Risk of Data Reuse in Federated Learning Systems.

Jiyue Huang, Lydia Y. Chen, Stefanie Roos

Proceedings of the 43rd International Symposium on Reliable Distributed Systems, 2024

2023

Exploring and Exploiting Data-Free Model Stealing.

Chi Hong, Jiyue Huang, Robert Birke, Lydia Y. Chen

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Maverick Matters: Client Contribution and Selection in Federated Learning.

Jiyue Huang, Chi Hong, Yang Liu, Lydia Y. Chen, Stefanie Roos

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Defending Against Free-Riders Attacks in Distributed Generative Adversarial Networks.

Zilong Zhao, Jiyue Huang, Lydia Y. Chen, Stefanie Roos

Proceedings of the Financial Cryptography and Data Security, 2023

Fabricated Flips: Poisoning Federated Learning without Data.

Jiyue Huang, Zilong Zhao, Lydia Y. Chen, Stefanie Roos

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023

2022

Blind leads Blind: A Zero-Knowledge Attack on Federated Learning.

Jiyue Huang, Zilong Zhao, Lydia Y. Chen, Stefanie Roos

CoRR, 2022

MEGA: Model Stealing via Collaborative Generator-Substitute Networks.

Chi Hong, Jiyue Huang, Lydia Y. Chen

CoRR, 2022

Attacks and Defenses for Free-Riders in Multi-Discriminator GAN.

Zilong Zhao, Jiyue Huang, Stefanie Roos, Lydia Y. Chen

CoRR, 2022

AGIC: Approximate Gradient Inversion Attack on Federated Learning.

Jin Xu, Chi Hong, Jiyue Huang, Lydia Y. Chen, Jérémie Decouchant

Proceedings of the 41st International Symposium on Reliable Distributed Systems, 2022

2021

Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning.

Jiyue Huang, Chi Hong, Lydia Y. Chen, Stefanie Roos

CoRR, 2021

2020

Groupchain: Towards a Scalable Public Blockchain in Fog Computing of IoT Services Computing.

Kai Lei, Maoyu Du, Jiyue Huang, Tong Jin

IEEE Trans. Serv. Comput., 2020

Blockchain-Based Cache Poisoning Security Protection and Privacy-Aware Access Control in NDN Vehicular Edge Computing Networks.

Kai Lei, Junjie Fang, Qichao Zhang, Junjun Lou, Maoyu Du, Jiyue Huang, Jianping Wang, Kuai Xu

J. Grid Comput., 2020

An Exploratory Analysis on Users' Contributions in Federated Learning.

Jiyue Huang, Rania Talbi, Zilong Zhao, Sara Bouchenak, Lydia Y. Chen, Stefanie Roos

Proceedings of the Second IEEE International Conference on Trust, 2020

2019

Survey on Blockchain Incentive Mechanism.

Jiyue Huang, Kai Lei, Maoyu Du, Hongting Zhao, Huafang Liu, Jin Liu, Zhuyun Qi

Proceedings of the Data Science, 2019

Towards Decentralized Equilibrium Asset Trading Based on Blockchain.

Kai Lei, Maoyu Du, Liwei Yang, Jin Liu, Jiyue Huang, Danxia Xie, Kuai Xu

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018

Semantic Similarity Measures to Disambiguate Terms in Medical Text.

Kai Lei, Jiyue Huang, Shangchun Si, Ying Shen

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Improving Medical Short Text Classification with Semantic Expansion Using Word-Cluster Embedding.

Ying Shen, Qiang Zhang, Jin Zhang, Jiyue Huang, Yuming Lu, Kai Lei

Proceedings of the Information Science and Applications 2018, 2018