Ergute Bao

According to our database, Ergute Bao authored at least 13 papers between 2021 and 2026.

Collaborative distances:

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

2026

Auditing Apple's DifferentialPrivacy.framework: Implementation Bugs, Misconfigurations, and Practical Risks.

Rishav Chourasia, Ergute Bao, Uzair Javaid, Xiaokui Xiao

CoRR, May, 2026

Overcoming the Retrieval Barrier: Indirect Prompt Injection in the Wild for LLM Systems.

Hongyan Chang, Ergute Bao, Xinjian Luo, Ting Yu

CoRR, January, 2026

Accurate Table Question Answering with Accessible LLMs.

Yangfan Jiang, Fei Wei, Ergute Bao, Yaliang Li, Bolin Ding, Yin Yang, Xiaokui Xiao

CoRR, January, 2026

SaGD: A Node-Level Differentially Private Graph Learning Framework with Sensitivity-Aware Gradient Descent.

Jianxin Wei, Ergute Bao, Xiaokui Xiao, Ting Yu

Proceedings of the ACM Web Conference 2026, 2026

2025

Unlocking the Power of Differentially Private Zeroth-order Optimization for Fine-tuning LLMs.

Ergute Bao, Yangfan Jiang, Fei Wei, Xiaokui Xiao, Zitao Li, Yaliang Li, Bolin Ding

Proceedings of the 34th USENIX Security Symposium, 2025

GCON: Differentially Private Graph Convolutional Network via Objective Perturbation.

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

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Towards Learning on Vertically Partitioned Data with Distributed Differential Privacy.

Ergute Bao, Fei Wei, Yin Yang, Xiaokui Xiao, Tianyu Pang, Chao Du

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

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

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