Ergute Bao

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 10

Top Topics

Convolutional Network

Importance Sampling

Markov Chain Monte Carlo

Differential Privacy

Top Venues

Proc. VLDB Endow.

J. Priv. Confidentiality

Publications

Jianxin Wei, Yizheng Zhu, Xiaokui Xiao, Ergute Bao, Yin Yang, Kuntai Cai, Beng Chin Ooi
GCON: Differentially Private Graph Convolutional Network via Objective Perturbation. CoRR (2024)
Fei Wei, Ergute Bao, Xiaokui Xiao, Yin Yang, Bolin Ding
AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation. CoRR (2024)
Fei Wei, Ergute Bao, Xiaokui Xiao, Yin Yang, Bolin Ding
AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation. Proc. VLDB Endow. 17 (8) (2024)
Ergute Bao, Dawei Gao, Xiaokui Xiao, Yaliang Li
Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting. KDD (2023)
Ergute Bao, Yizheng Zhu, Xiaokui Xiao, Yin Yang, Beng Chin Ooi, Benjamin Hong Meng Tan, Khin Mi Mi Aung
Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy. CoRR (2022)
Jianxin Wei, Ergute Bao, Xiaokui Xiao, Yin Yang
DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling. CCS (2022)
Ergute Bao, Yizheng Zhu, Xiaokui Xiao, Yin Yang, Beng Chin Ooi, Benjamin Hong Meng Tan, Khin Mi Mi Aung
Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy. Proc. VLDB Endow. 15 (11) (2022)
Jianxin Wei, Ergute Bao, Xiaokui Xiao, Yin Yang
DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling. CoRR (2022)
Ergute Bao, Xiaokui Xiao, Jun Zhao, Dongping Zhang, Bolin Ding
Synthetic Data Generation with Differential Privacy via Bayesian Networks. J. Priv. Confidentiality 11 (3) (2021)
Ergute Bao, Yin Yang, Xiaokui Xiao, Bolin Ding
CGM: An Enhanced Mechanism for Streaming Data Collectionwith Local Differential Privacy. Proc. VLDB Endow. 14 (11) (2021)