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Ergute Bao
ORCID
Publication Activity (10 Years)
Years Active: 2021-2023
Publications (10 Years): 7
Top Topics
Differentially Private
Differential Privacy
Bayesian Networks
Monte Carlo
Top Venues
Proc. VLDB Endow.
CoRR
J. Priv. Confidentiality
KDD
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Publications
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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)