Yuncheng Wu

Orcid: 0000-0002-1436-3916

According to our database1, Yuncheng Wu authored at least 38 papers between 2015 and 2024.

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Bibliography

2024
Front Matter.
Proc. VLDB Endow., August, 2024

On Data Distribution Leakage in Cross-Silo Federated Learning.
IEEE Trans. Knowl. Data Eng., July, 2024

FVFL: A Flexible and Verifiable Privacy-Preserving Federated Learning Scheme.
IEEE Internet Things J., July, 2024

Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs.
Proc. VLDB Endow., May, 2024

Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective.
IEEE Trans. Inf. Forensics Secur., 2024

NeurDB: On the Design and Implementation of an AI-powered Autonomous Database.
CoRR, 2024

Clip Body and Tail Separately: High Probability Guarantees for DPSGD with Heavy Tails.
CoRR, 2024

NeurDB: An AI-powered Autonomous Data System.
CoRR, 2024

Powering In-Database Dynamic Model Slicing for Structured Data Analytics.
CoRR, 2024

Protecting Label Distribution in Cross-Silo Federated Learning.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

LBSC: A Cost-Aware Caching Framework for Cloud Databases.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Applications and Challenges for Large Language Models: From Data Management Perspective.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
LuxGeo: Efficient and Security-Enhanced Geometric Range Queries.
IEEE Trans. Knowl. Data Eng., 2023

MINT: Detecting Fraudulent Behaviors from Time-series Relational Data.
Proc. VLDB Endow., 2023

Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System.
Proc. VLDB Endow., 2023

Incentive-Aware Decentralized Data Collaboration.
Proc. ACM Manag. Data, 2023

FEAST: A Communication-efficient Federated Feature Selection Framework for Relational Data.
Proc. ACM Manag. Data, 2023

Passive Inference Attacks on Split Learning via Adversarial Regularization.
CoRR, 2023

2022
Serverless Data Science - Are We There Yet? A Case Study of Model Serving.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

A Fusion-Denoising Attack on InstaHide with Data Augmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Enhanced Privacy Preserving Group Nearest Neighbor Search.
IEEE Trans. Knowl. Data Eng., 2021

Serverless Model Serving for Data Science.
CoRR, 2021

Communication-efficient Decentralized Machine Learning over Heterogeneous Networks.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Feature Inference Attack on Model Predictions in Vertical Federated Learning.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
Privacy Preserving Vertical Federated Learning for Tree-based Models.
Proc. VLDB Endow., 2020

A Pufferfish privacy mechanism for monitoring web browsing behavior under temporal correlations.
Comput. Secur., 2020

2019
MixGeo: efficient secure range queries on encrypted dense spatial data in the cloud.
Proceedings of the International Symposium on Quality of Service, 2019

Differentially Private Frequent Itemset Mining Against Incremental Updates.
Proceedings of the Information and Communications Security - 21st International Conference, 2019

2018
Privacy Preserving Group Nearest Neighbor Search.
Proceedings of the 21st International Conference on Extending Database Technology, 2018

Secure Data Aggregation with Integrity Verification in Wireless Sensor Networks.
Proceedings of the Database Systems for Advanced Applications, 2018

2017
HelPal: A Search System for Mobile Crowd Service.
CoRR, 2017

PIE: A personalized incentive for location-aware mobile crowd sensing.
Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017

AXE: Objects Search in Mobile Volunteered Service.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017

2016
MagiCrowd: A crowd based incentive for location-aware crowd sensing.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2016

Energy-Efficient and Privacy-Preserving Range Query in Participatory Sensing.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

Differentially private density estimation via Gaussian mixtures model.
Proceedings of the 24th IEEE/ACM International Symposium on Quality of Service, 2016

DPListCF: A differentially private approach for listwise collaborative filtering.
Proceedings of the IEEE Symposium on Computers and Communication, 2016

2015
Enable Privacy Preservation and Result Verification for Top-k Query in Two-Tiered Sensor Networks.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015


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