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Chuanren Liu

2 accepted papers

2021

GraphMI: Extracting Private Graph Data from Graph Neural Networks

IJCAI 2021poster

As machine learning becomes more widely used for critical applications, the need to study its implications in privacy becomes urgent. Given access to the target model and auxiliary information, model inversion attack aims to infer sensitive features of the training dataset, which leads to great pr…

2020

Why We Go Where We Go: Profiling User Decisions on Choosing POIs

IJCAI 2020poster

While Point-of-Interest (POI) recommendation has been a popular topic of study for some time, little progress has been made for understanding why and how people make their decisions for the selection of POIs. To this end, in this paper, we propose a user decision profiling framework, named PROUD, wh…

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