Ergute Bao

16 papers A* 6Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Accurate Table Question Answering with Accessible LLMs.
CoRR
Yangfan Jiang, Fei Wei, Ergute Bao, Yaliang Li, Bolin Ding, Yin Yang, Xiaokui Xiao
2026 J jnl
Overcoming the Retrieval Barrier: Indirect Prompt Injection in the Wild for LLM Systems.
CoRR
Hongyan Chang, Ergute Bao, Xinjian Luo, Ting Yu
2026 A* conf
SaGD: A Node-Level Differentially Private Graph Learning Framework with Sensitivity-Aware Gradient Descent.
WWW
Jianxin Wei, Ergute Bao, Xiaokui Xiao, Ting Yu
2025 A* conf
GCON: Differentially Private Graph Convolutional Network via Objective Perturbation.
ICDE
Jianxin Wei, Yizheng Zhu, Xiaokui Xiao, Ergute Bao, Yin Yang, Kuntai Cai, Beng Chin Ooi
2025 A* conf
Towards Learning on Vertically Partitioned Data with Distributed Differential Privacy.
ICDE
Ergute Bao, Fei Wei, Yin Yang, Xiaokui Xiao, Tianyu Pang, Chao Du
2025 A* conf
Unlocking the Power of Differentially Private Zeroth-order Optimization for Fine-tuning LLMs.
USENIX Security Symposium
Ergute Bao, Yangfan Jiang, Fei Wei, Xiaokui Xiao, Zitao Li, Yaliang Li, Bolin Ding
2024 J jnl
AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation.
CoRR
Fei Wei, Ergute Bao, Xiaokui Xiao, Yin Yang, Bolin Ding
2024 J jnl
AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation.
Proc. VLDB Endow.
Fei Wei, Ergute Bao, Xiaokui Xiao, Yin Yang, Bolin Ding
2024 J jnl
GCON: Differentially Private Graph Convolutional Network via Objective Perturbation.
CoRR
Jianxin Wei, Yizheng Zhu, Xiaokui Xiao, Ergute Bao, Yin Yang, Kuntai Cai, Beng Chin Ooi
2023 A* conf
Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting.
KDD
Ergute Bao, Dawei Gao, Xiaokui Xiao, Yaliang Li
2022 A* conf
DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling.
CCS
Jianxin Wei, Ergute Bao, Xiaokui Xiao, Yin Yang
2022 J jnl
DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling.
CoRR
Jianxin Wei, Ergute Bao, Xiaokui Xiao, Yin Yang
2022 J jnl
Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy.
CoRR
Ergute Bao, Yizheng Zhu, Xiaokui Xiao, Yin Yang, Beng Chin Ooi, Benjamin Hong Meng Tan, Khin Mi Mi Aung
2022 J jnl
Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy.
Proc. VLDB Endow.
Ergute Bao, Yizheng Zhu, Xiaokui Xiao, Yin Yang, Beng Chin Ooi, Benjamin Hong Meng Tan, Khin Mi Mi Aung
2021 J jnl
CGM: An Enhanced Mechanism for Streaming Data Collectionwith Local Differential Privacy.
Proc. VLDB Endow.
Ergute Bao, Yin Yang, Xiaokui Xiao, Bolin Ding
2021 J jnl
Synthetic Data Generation with Differential Privacy via Bayesian Networks.
J. Priv. Confidentiality
Ergute Bao, Xiaokui Xiao, Jun Zhao, Dongping Zhang, Bolin Ding