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2020 – today
- 2026
[i6]Yangfan Jiang, Fei Wei, Ergute Bao, Yaliang Li, Bolin Ding, Yin Yang, Xiaokui Xiao:
Accurate Table Question Answering with Accessible LLMs. CoRR abs/2601.03137 (2026)- [i5]Hongyan Chang, Ergute Bao, Xinjian Luo, Ting Yu:
Overcoming the Retrieval Barrier: Indirect Prompt Injection in the Wild for LLM Systems. CoRR abs/2601.07072 (2026) - 2025
- [c5]Ergute Bao
, Fei Wei, Yin Yang, Xiaokui Xiao, Tianyu Pang, Chao Du:
Towards Learning on Vertically Partitioned Data with Distributed Differential Privacy. ICDE 2025: 2121-2134 - [c4]Jianxin Wei, Yizheng Zhu, Xiaokui Xiao, Ergute Bao, Yin Yang, Kuntai Cai, Beng Chin Ooi:
GCON: Differentially Private Graph Convolutional Network via Objective Perturbation. ICDE 2025: 2507-2520 - [c3]Ergute Bao, Yangfan Jiang, Fei Wei, Xiaokui Xiao, Zitao Li, Yaliang Li, Bolin Ding:
Unlocking the Power of Differentially Private Zeroth-order Optimization for Fine-tuning LLMs. USENIX Security Symposium 2025: 1569-1588 - 2024
- [j4]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): 1843-1855 (2024) - [i4]Fei Wei, Ergute Bao, Xiaokui Xiao, Yin Yang, Bolin Ding:
AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation. CoRR abs/2404.01625 (2024) - [i3]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 abs/2407.05034 (2024) - 2023
- [c2]Ergute Bao, Dawei Gao, Xiaokui Xiao, Yaliang Li:
Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting. KDD 2023: 69-79 - 2022
- [j3]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): 2348-2360 (2022) - [c1]Jianxin Wei, Ergute Bao, Xiaokui Xiao, Yin Yang:
DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling. CCS 2022: 2885-2899 - [i2]Jianxin Wei, Ergute Bao, Xiaokui Xiao, Yin Yang:
DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling. CoRR abs/2210.09634 (2022) - [i1]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 abs/2212.04371 (2022) - 2021
- [j2]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) - [j1]Ergute Bao, Yin Yang, Xiaokui Xiao, Bolin Ding:
CGM: An Enhanced Mechanism for Streaming Data Collectionwith Local Differential Privacy. Proc. VLDB Endow. 14(11): 2258-2270 (2021)
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