Junxu Liu

Liu, J., Lou, J., Xiong, L., Liu, J., & Meng, X. (2021). Projected federated averaging with heterogeneous differential privacy. Proceedings of the VLDB Endowment, 15(4), 13. http://doi.org/10.14778/3503585.3503592

Liu, J., Lou, J., Liu, J., Xiong, L., Pei, J., & Sun, J. (2021). Dealer: an end-to-end model marketplace with differential privacy. Proceedings of the VLDB Endowment, 14(6), 13. http://doi.org/10.14778/3447689.3447700

Liu, J., Lou, J., Xiong, L., & Meng, X. (2023). Personalized Differentially Private Federated Learning without Exposing Privacy Budgets. In 32nd ACM International Conference on Information and Knowledge Management. Retrieved from https://par.nsf.gov/biblio/10448800

Liu, J., , , Zhang, X., Xiong, L., & Qin, Z. (2023). MUter: Machine Unlearning on Adversarial Training Models. In International Conference on Computer Vision. Retrieved from https://par.nsf.gov/biblio/10448795