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