14 citations · 49 across the 14 of their papers we have counts for
14 papers
Shapley Value on Probabilistic Classifiers
Xiang Li, Haocheng Xia, Jinfei Liu
Data valuation has become an increasingly significant discipline in data science due to the economic value of data. In the context of machine learning (ML), data valuation methods…
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding
Yuke Hu, Wei Liang, Ruofan Wu +5
Knowledge Graph Embedding (KGE) is a fundamental technique that extracts expressive representation from knowledge graph (KG) to facilitate diverse downstream tasks. The emerging fe…
Privacy Enhancement via Dummy Points in the Shuffle Model
Xiaochen Li, Weiran Liu, Hanwen Feng +4
The shuffle model is recently proposed to address the issue of severe utility loss in Local Differential Privacy (LDP) due to distributed data randomization.In the shuffle model, a…
PGLP: Customizable and Rigorous Location Privacy through Policy Graph
Yang Cao, Yonghui Xiao, Shun Takagi +6
Location privacy has been extensively studied in the literature. However, existing location privacy models are either not rigorous or not customizable, which limits the trade-off b…
Dealer: End-to-End Data Marketplace with Model-based Pricing
Jinfei Liu
Data-driven machine learning (ML) has witnessed great successes across a variety of application domains. Since ML model training are crucially relied on a large amount of data, the…
Absolute Shapley Value
Jinfei Liu
Shapley value is a concept in cooperative game theory for measuring the contribution of each participant, which was named in honor of Lloyd Shapley. Shapley value has been recently…
Eclipse: Generalizing kNN and Skyline
Jinfei Liu, Li Xiong, Qiuchen Zhang +2
nearest neighbor (NN) queries and skyline queries are important operators on multi-dimensional data points. Given a query point, NN query returns the nearest neighbor…
Efficient Contour Computation of Group-based Skyline
Wenhui Yu, Jinfei Liu, Jian Pei +3
Skyline, aiming at finding a Pareto optimal subset of points in a multi-dimensional dataset, has gained great interest due to its extensive use for multi-criteria analysis and deci…
Visually-aware Recommendation with Aesthetic Features
Wenhui Yu, Xiangnan He, Jian Pei +4
Visual information plays a critical role in human decision-making process. While recent developments on visually-aware recommender systems have taken the product image into account…
Skyline Diagram: Efficient Space Partitioning for Skyline Queries
Jinfei Liu, Juncheng Yang, Li Xiong +5
Skyline queries are important in many application domains. In this paper, we propose a novel structure Skyline Diagram, which given a set of points, partitions the plane into a set…
Secure and Efficient Skyline Queries on Encrypted Data
Jinfei Liu, Juncheng Yang, Li Xiong +1
Outsourcing data and computation to cloud server provides a cost-effective way to support large scale data storage and query processing. However, due to security and privacy concer…
Eclipse: Practicability Beyond kNN and Skyline
Jinfei Liu, Li Xiong, Qiuchen Zhang +2
The nearest neighbor (NN) query is a fundamental problem in databases. Given a set of multidimensional data points and a query point, NN returns the nearest neighbors…
DPHMM: Customizable Data Release with Differential Privacy via Hidden Markov Model
Yonghui Xiao, Yilin Shen, Jinfei Liu +3
Hidden Markov model (HMM) has been well studied and extensively used. In this paper, we present DPHMM ({Differentially Private Hidden Markov Model}), an HMM embedded with a private…
Speed Partitioning for Indexing Moving Objects
Xiaofeng Xu, Li Xiong, Vaidy Sunderam +2
Indexing moving objects has been extensively studied in the past decades. Moving objects, such as vehicles and mobile device users, usually exhibit some patterns on their velocitie…