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06/01/2023
Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk?
Graph neural networks (GNNs) have shown promising results on real-life d...
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06/29/2022
Private Graph Extraction via Feature Explanations
Privacy and interpretability are two of the important ingredients for ac...
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09/18/2021
Releasing Graph Neural Networks with Differential Privacy Guarantees
With the increasing popularity of Graph Neural Networks (GNNs) in severa...
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04/16/2021
Achieving differential privacy for k-nearest neighbors based outlier detection by data partitioning
When applying outlier detection in settings where data is sensitive, mec...
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04/13/2021
A Review of Anonymization for Healthcare Data
Mining health data can lead to faster medical decisions, improvement in ...
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01/17/2021
Membership Inference Attack on Graph Neural Networks
Graph Neural Networks (GNNs), which generalize traditional deep neural n...
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04/27/2020
Context-aware Helpfulness Prediction for Online Product Reviews
Modeling and prediction of review helpfulness has become more predominan...
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06/30/2018
Harnessing constrained resources in service industry via video analytics
Service industries contribute significantly to many developed and develo...
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01/23/2018
