Ergute Bao

According to our database, Ergute Bao authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

2024

AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation.

Fei Wei, Ergute Bao, Xiaokui Xiao, Yin Yang, Bolin Ding

Proc. VLDB Endow., April, 2024

GCON: Differentially Private Graph Convolutional Network via Objective Perturbation.

Jianxin Wei, Yizheng Zhu, Xiaokui Xiao, Ergute Bao, Yin Yang, Kuntai Cai, Beng Chin Ooi

CoRR, 2024

2023

Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting.

Ergute Bao, Dawei Gao, Xiaokui Xiao, Yaliang Li

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy.

Ergute Bao, Yizheng Zhu, Xiaokui Xiao, Yin Yang, Beng Chin Ooi, Benjamin Hong Meng Tan, Khin Mi Mi Aung

Proc. VLDB Endow., 2022

DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling.

Jianxin Wei, Ergute Bao, Xiaokui Xiao, Yin Yang

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

CGM: An Enhanced Mechanism for Streaming Data Collectionwith Local Differential Privacy.

Ergute Bao, Yin Yang, Xiaokui Xiao, Bolin Ding

Proc. VLDB Endow., 2021

Synthetic Data Generation with Differential Privacy via Bayesian Networks.

Ergute Bao, Xiaokui Xiao, Jun Zhao, Dongping Zhang, Bolin Ding

J. Priv. Confidentiality, 2021