Jinfei Liu

Orcid: 0000-0003-2921-2827

According to our database1, Jinfei Liu authored at least 61 papers between 2010 and 2024.

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Bibliography

2024
Shapley Value Approximation Based on Complementary Contribution.
IEEE Trans. Knowl. Data Eng., December, 2024

A Profit-Maximizing Data Marketplace with Differentially Private Federated Learning under Price Competition.
Proc. ACM Manag. Data, September, 2024

DataPrice: An Interactive System for Pricing Datasets in Data Marketplaces.
Proc. VLDB Endow., August, 2024

P-Shapley: Shapley Values on Probabilistic Classifiers.
Proc. VLDB Endow., March, 2024

Privacy Enhancement Via Dummy Points in the Shuffle Model.
IEEE Trans. Dependable Secur. Comput., 2024

Special Issue on Data Economy and Data Marketplaces.
IEEE Internet Comput., 2024

PGB: Benchmarking Differentially Private Synthetic Graph Generation Algorithms.
CoRR, 2024

MapComp: A Secure View-based Collaborative Analytics Framework for Join-Group-Aggregation.
CoRR, 2024

Federated Graph Analytics with Differential Privacy.
CoRR, 2024

CARGO: Crypto-Assisted Differentially Private Triangle Counting Without Trusted Servers.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

When Data Pricing Meets Non-Cooperative Game Theory.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Share: Stackelberg-Nash based Data Markets.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

TabularMark: Watermarking Tabular Datasets for Machine Learning.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

Cross-silo Federated Learning with Record-level Personalized Differential Privacy.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023
Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets.
Proc. VLDB Endow., 2023

Efficient Sampling Approaches to Shapley Value Approximation.
Proc. ACM Manag. Data, 2023

Prompt Valuation Based on Shapley Values.
CoRR, 2023

Shapley Value on Probabilistic Classifiers.
CoRR, 2023

Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding.
Proceedings of the ACM Web Conference 2023, 2023

CAPP-130: A Corpus of Chinese Application Privacy Policy Summarization and Interpretation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ShapleyFL: Robust Federated Learning Based on Shapley Value.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

EulerFD: An Efficient Double-Cycle Approximation of Functional Dependencies.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Dynamic Shapley Value Computation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Self-Propagation Graph Neural Network for Recommendation.
IEEE Trans. Knowl. Data Eng., 2022

2021
Visually aware recommendation with aesthetic features.
VLDB J., 2021

Skyline Diagram: Efficient Space Partitioning for Skyline Queries.
IEEE Trans. Knowl. Data Eng., 2021

Group-Based Skyline for Pareto Optimal Groups.
IEEE Trans. Knowl. Data Eng., 2021

Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy.
Proc. VLDB Endow., 2021

Projected Federated Averaging with Heterogeneous Differential Privacy.
Proc. VLDB Endow., 2021

Dealer: An End-to-End Model Marketplace with Differential Privacy.
Proc. VLDB Endow., 2021

Eclipse: Generalizing kNN and Skyline.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
Efficient Contour Computation of Group-Based Skyline.
IEEE Trans. Knowl. Data Eng., 2020

Customizable and Rigorous Location Privacy through Policy Graph.
CoRR, 2020

Dealer: End-to-End Data Marketplace with Model-based Pricing.
CoRR, 2020

Absolute Shapley Value.
CoRR, 2020

PGLP: Customizable and Rigorous Location Privacy Through Policy Graph.
Proceedings of the Computer Security - ESORICS 2020, 2020

2019
Secure and Efficient Skyline Queries on Encrypted Data.
IEEE Trans. Knowl. Data Eng., 2019

SkyRec: Finding Pareto Optimal Groups.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Skyline Diagram: Finding the Voronoi Counterpart for Skyline Queries.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017
Eclipse: Practicability Beyond 1NN and Skyline.
CoRR, 2017

Secure Skyline Queries on Cloud Platform.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Fast Algorithms for Pareto Optimal Group-based Skyline.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
DPHMM: Customizable Data Release with Differential Privacy via Hidden Markov Model.
CoRR, 2016

2015
Finding Pareto Optimal Groups: Group-based Skyline.
Proc. VLDB Endow., 2015

Secure Similarity Queries: Enabling Precision Medicine with Privacy.
Proceedings of the Biomedical Data Management and Graph Online Querying, 2015

Speed Partitioning for Indexing Moving Objects.
Proceedings of the Advances in Spatial and Temporal Databases, 2015

VPIndexer: velocity-based partitioning for indexing moving objects.
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015

Database Fragmentation with Confidentiality Constraints: A Graph Search Approach.
Proceedings of the 5th ACM Conference on Data and Application Security and Privacy, 2015

Finding Probabilistic k-Skyline Sets on Uncertain Data.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Differentially Private Histogram Publication for Dynamic Datasets: an Adaptive Sampling Approach.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Faster output-sensitive skyline computation algorithm.
Inf. Process. Lett., 2014

Privacy Preserving Publication of Locations Based on Delaunay Triangulation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

2013
Privacy Preserving Distributed DBSCAN Clustering.
Trans. Data Priv., 2013

Semantic Security: Privacy Definitions Revisited.
Trans. Data Priv., 2013

A privacy framework: indistinguishable privacy.
Proceedings of the Joint 2013 EDBT/ICDT Conferences, 2013

2012
New models and efficient algorithms for hazard detection.
Proceedings of the 20th International Conference on Geoinformatics, 2012

2011
Effective Privacy Preserved Clustering Based on Voronoi Diagram.
Proceedings of the Eighth International Symposium on Voronoi Diagrams in Science and Engineering, 2011

Half-Plane Voronoi Diagram.
Proceedings of the Eighth International Symposium on Voronoi Diagrams in Science and Engineering, 2011

Rating: Privacy Preservation for Multiple Attributes with Different Sensitivity Requirements.
Proceedings of the Data Mining Workshops (ICDMW), 2011

2010
Application of ontological thought in collaborative product R & D orientied to automobile lifecycle.
Proceedings of the 2010 14th International Conference on Computer Supported Cooperative Work in Design, 2010

Study on collaborative product design based on modularity and multi-agent.
Proceedings of the 2010 14th International Conference on Computer Supported Cooperative Work in Design, 2010


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