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2020 – today
- 2024
[j13]Gang Wang
, Li Zhou, Qingming Li, Xiaoran Yan, Ximeng Liu, Yuncheng Wu:
FVFL: A Flexible and Verifiable Privacy-Preserving Federated Learning Scheme. IEEE Internet Things J. 11(13): 23268-23281 (2024)- [j12]Yizheng Zhu, Yuncheng Wu, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao:
Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs. Proc. VLDB Endow. 17(9): 2321-2334 (2024) - [j11]Meihui Zhang, Cyrus Shahabi, Ju Fan, Yang Cao, Xiaoou Ding, Divesh Srivastava, Nesime Tatbul, Sihem Amer-Yahia, Yongxin Tong, Yuncheng Wu, Li Xiong, Torsten Grust, Themis Palpanas, Philippe Bonnet, Haixun Wang, Wook-Shin Han, Ibrahim Sabek, M. Tamer Özsu, Xiaofang Zhou:
Front Matter. Proc. VLDB Endow. 17(12) (2024) - [j10]Xinjian Luo, Yangfan Jiang, Fei Wei, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi:
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective. IEEE Trans. Inf. Forensics Secur. 19: 8109-8124 (2024) - [j9]Yangfan Jiang, Xinjian Luo, Yuncheng Wu, Xiaochen Zhu, Xiaokui Xiao, Beng Chin Ooi:
On Data Distribution Leakage in Cross-Silo Federated Learning. IEEE Trans. Knowl. Data Eng. 36(7): 3312-3328 (2024) - [c18]Zhaoxuan Ji, Zhongle Xie, Yuncheng Wu, Meihui Zhang:
LBSC: A Cost-Aware Caching Framework for Cloud Databases. ICDE 2024: 4911-4924 - [c17]Meihui Zhang, Zhaoxuan Ji, Zhaojing Luo, Yuncheng Wu, Chengliang Chai:
Applications and Challenges for Large Language Models: From Data Management Perspective. ICDE 2024: 5530-5541 - [c16]Yangfan Jiang, Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi:
Protecting Label Distribution in Cross-Silo Federated Learning. SP 2024: 4828-4847 - [i13]Xinjian Luo, Yangfan Jiang, Fei Wei, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi:
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective. CoRR abs/2402.18607 (2024) - [i12]Lingze Zeng, Naili Xing, Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jian Pei, Yuncheng Wu:
Powering In-Database Dynamic Model Slicing for Structured Data Analytics. CoRR abs/2405.00568 (2024) - [i11]Beng Chin Ooi, Shaofeng Cai, Gang Chen, Kian-Lee Tan, Yuncheng Wu, Xiaokui Xiao, Naili Xing, Cong Yue, Lingze Zeng, Meihui Zhang, Zhanhao Zhao:
NeurDB: An AI-powered Autonomous Data System. CoRR abs/2405.03924 (2024) - [i10]Haichao Sha, Yang Cao, Yong Liu, Yuncheng Wu, Ruixuan Liu, Hong Chen:
Clip Body and Tail Separately: High Probability Guarantees for DPSGD with Heavy Tails. CoRR abs/2405.17529 (2024) - [i9]Zhanhao Zhao, Shaofeng Cai, Haotian Gao, Hexiang Pan, Siqi Xiang, Naili Xing, Gang Chen, Beng Chin Ooi, Yanyan Shen, Yuncheng Wu, Meihui Zhang:
NeurDB: On the Design and Implementation of an AI-powered Autonomous Database. CoRR abs/2408.03013 (2024) - 2023
- [j8]Rui Fu, Yuncheng Wu, Quanqing Xu, Meihui Zhang:
FEAST: A Communication-efficient Federated Feature Selection Framework for Relational Data. Proc. ACM Manag. Data 1(1): 107:1-107:28 (2023) - [j7]Yatong Wang, Yuncheng Wu, Xincheng Chen, Gang Feng, Beng Chin Ooi:
Incentive-Aware Decentralized Data Collaboration. Proc. ACM Manag. Data 1(2): 158:1-158:27 (2023) - [j6]Yuncheng Wu, Naili Xing, Gang Chen, Tien Tuan Anh Dinh, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao, Meihui Zhang:
Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System. Proc. VLDB Endow. 16(10): 2471-2484 (2023) - [j5]Fei Xiao, Yuncheng Wu, Meihui Zhang, Gang Chen, Beng Chin Ooi:
MINT: Detecting Fraudulent Behaviors from Time-series Relational Data. Proc. VLDB Endow. 16(12): 3610-3623 (2023) - [j4]Ruoyang Guo, Bo Qin, Yuncheng Wu, Ruixuan Liu, Hong Chen, Cuiping Li:
LuxGeo: Efficient and Security-Enhanced Geometric Range Queries. IEEE Trans. Knowl. Data Eng. 35(2): 1775-1790 (2023) - [e1]Hyeran Byun, Beng Chin Ooi, Katsumi Tanaka, Sang-Won Lee, Zhixu Li, Akiyo Nadamoto, Giltae Song, Young-Guk Ha, Kazutoshi Sumiya, Yuncheng Wu, Hyuk-Yoon Kwon, Takehiro Yamamoto:
IEEE International Conference on Big Data and Smart Computing, BigComp 2023, Jeju, Republic of Korea, February 13-16, 2023. IEEE 2023, ISBN 978-1-6654-7578-5 [contents] - [i8]Xiaochen Zhu, Xinjian Luo, Yuncheng Wu, Yangfan Jiang, Xiaokui Xiao, Beng Chin Ooi:
Passive Inference Attacks on Split Learning via Adversarial Regularization. CoRR abs/2310.10483 (2023) - [i7]Yizheng Zhu, Yuncheng Wu, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao:
Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs. CoRR abs/2311.15310 (2023) - 2022
- [c15]Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi:
A Fusion-Denoising Attack on InstaHide with Data Augmentation. AAAI 2022: 1899-1907 - [c14]Yuncheng Wu, Tien Tuan Anh Dinh, Guoyu Hu, Meihui Zhang, Yeow Meng Chee, Beng Chin Ooi:
Serverless Data Science - Are We There Yet? A Case Study of Model Serving. SIGMOD Conference 2022: 1866-1875 - 2021
- [j3]Yuncheng Wu, Ke Wang, Ruoyang Guo, Zhilin Zhang, Dan Zhao, Hong Chen, Cuiping Li:
Enhanced Privacy Preserving Group Nearest Neighbor Search. IEEE Trans. Knowl. Data Eng. 33(2): 459-473 (2021) - [c13]Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi:
Feature Inference Attack on Model Predictions in Vertical Federated Learning. ICDE 2021: 181-192 - [c12]Pan Zhou, Qian Lin, Dumitrel Loghin, Beng Chin Ooi, Yuncheng Wu, Hongfang Yu:
Communication-efficient Decentralized Machine Learning over Heterogeneous Networks. ICDE 2021: 384-395 - [i6]Yuncheng Wu, Tien Tuan Anh Dinh, Guoyu Hu, Meihui Zhang, Yeow Meng Chee, Beng Chin Ooi:
Serverless Model Serving for Data Science. CoRR abs/2103.02958 (2021) - [i5]Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi:
A Fusion-Denoising Attack on InstaHide with Data Augmentation. CoRR abs/2105.07754 (2021) - 2020
- [j2]Wenjuan Liang, Hong Chen, Ruixuan Liu, Yuncheng Wu, Cuiping Li:
A Pufferfish privacy mechanism for monitoring web browsing behavior under temporal correlations. Comput. Secur. 92: 101754 (2020) - [j1]Yuncheng Wu, Shaofeng Cai, Xiaokui Xiao, Gang Chen, Beng Chin Ooi:
Privacy Preserving Vertical Federated Learning for Tree-based Models. Proc. VLDB Endow. 13(11): 2090-2103 (2020) - [i4]Yuncheng Wu, Shaofeng Cai, Xiaokui Xiao, Gang Chen, Beng Chin Ooi:
Privacy Preserving Vertical Federated Learning for Tree-based Models. CoRR abs/2008.06170 (2020) - [i3]Pan Zhou, Qian Lin, Dumitrel Loghin, Beng Chin Ooi, Yuncheng Wu, Hongfang Yu:
Communication-efficient Decentralized Machine Learning over Heterogeneous Networks. CoRR abs/2009.05766 (2020) - [i2]Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi:
Feature Inference Attack on Model Predictions in Vertical Federated Learning. CoRR abs/2010.10152 (2020)
2010 – 2019
- 2019
- [c11]Wenjuan Liang, Hong Chen, Yuncheng Wu, Cuiping Li:
Differentially Private Frequent Itemset Mining Against Incremental Updates. ICICS 2019: 649-667 - [c10]Ruoyang Guo, Bo Qin, Yuncheng Wu, Ruixuan Liu, Hong Chen, Cuiping Li:
MixGeo: efficient secure range queries on encrypted dense spatial data in the cloud. IWQoS 2019: 29:1-29:10 - 2018
- [c9]Ying Liu, Hui Peng, Yuncheng Wu, Juru Zeng, Hong Chen, Ke Wang, Weiling Lai, Cuiping Li:
Secure Data Aggregation with Integrity Verification in Wireless Sensor Networks. DASFAA (1) 2018: 717-733 - [c8]Yuncheng Wu, Ke Wang, Zhilin Zhang, Weipeng Lin, Hong Chen, Cuiping Li:
Privacy Preserving Group Nearest Neighbor Search. EDBT 2018: 277-288 - 2017
- [c7]Yao Wu, Wenjuan Liang, Yuncheng Wu, Hong Chen, Cuiping Li:
AXE: Objects Search in Mobile Volunteered Service. CollaborateCom 2017: 73-87 - [c6]Yao Wu, Yuncheng Wu, Juru Zeng, Hong Chen, Cuiping Li:
PIE: A personalized incentive for location-aware mobile crowd sensing. ISCC 2017: 981-986 - [i1]Yao Wu, Tianzhen Wu, Ziyi Xiong, Yuncheng Wu, Hong Chen, Cuiping Li, Xiaoying Zhang:
HelPal: A Search System for Mobile Crowd Service. CoRR abs/1712.09010 (2017) - 2016
- [c5]Yuncheng Wu, Juru Zeng, Hong Chen, Yao Wu, Wenjuan Liang, Hui Peng, Cuiping Li:
DPListCF: A differentially private approach for listwise collaborative filtering. ISCC 2016: 932-937 - [c4]Yuncheng Wu, Yao Wu, Hui Peng, Juru Zeng, Hong Chen, Cuiping Li:
Differentially private density estimation via Gaussian mixtures model. IWQoS 2016: 1-6 - [c3]Juru Zeng, Yuncheng Wu, Yao Wu, Hong Chen, Cuiping Li, Shan Wang:
Energy-Efficient and Privacy-Preserving Range Query in Participatory Sensing. Trustcom/BigDataSE/ISPA 2016: 876-883 - [c2]Yao Wu, Yuncheng Wu, Hui Peng, Hong Chen, Cuiping Li:
MagiCrowd: A crowd based incentive for location-aware crowd sensing. WCNC 2016: 1-6 - 2015
- [c1]Hui Peng, Xiaoying Zhang, Hong Chen, Yuncheng Wu, Yao Wu, Juru Zeng:
Enable Privacy Preservation and Result Verification for Top-k Query in Two-Tiered Sensor Networks. TrustCom/BigDataSE/ISPA (1) 2015: 555-562
Coauthor Index
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