Zilong Zhao, Jiyue Huang, Lydia Y. Chen, Stefanie Roos (2024), Defending Against Free-Riders Attacks in Distributed Generative Adversarial Networks, Foteini Baldimtsi, Christian Cachin (Eds.), In Financial Cryptography and Data Security - 27th International Conference, FC 2023, Revised Selected Papers p.200-217, Springer.

J. Xu, C. Hong, J. Huang, Lydia Y. Chen, J.E.A.P. Decouchant (2023), AGIC: Approximate Gradient Inversion Attack on Federated Learning, Cristina Ceballos, Hector Torres (Eds.), In 41st International Symposium on Reliable Distributed Systems (SRDS 2022 ) p.12-22.

Jiyue Huang, Zilong Zhao, Lydia Y. Chen, Stefanie Roos (2023), Fabricated Flips: Poisoning Federated Learning without Data, Lisa O'Conner (Eds.), In Proceedings of the 2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2023 p.274-287, IEEE.

Jiyue Huang, Chi Hong, Yang Liu, Lydia Y. Chen, Stefanie Roos (2023), Maverick Matters: Client Contribution and Selection in Federated Learning, Hisashi Kashima, Tsuyoshi Ide, Wen-Chih Peng (Eds.), In Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Proceedings p.269-282, Springer.

Jiyue Huang, Rania Talbi, Zilong Zhao, Sara Boucchenak, Lydia Y. Chen, Stefanie Roos (2020), An Exploratory Analysis on Users' Contributions in Federated Learning, In Proceedings - 2020 2nd IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, TPS-ISA 2020 p.20-29, IEEE.