output
20072026
most citedA Review of Anonymization for Healthcare Data

100 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2022 · cs.LGShow all

5 papers · 2 filters

cs.LG2022★ 17 cited

Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks

Hussain Hussain, Meng Cao, Sandipan Sikdar +4

We present evidence for the existence and effectiveness of adversarial attacks on graph neural networks (GNNs) that aim to degrade fairness. These attacks can disadvantage a partic…

cs.LG2022★ 21 cited

Evaluation of group fairness measures in student performance prediction problems

Tai Le Quy, Thi Huyen Nguyen, Gunnar Friege +1

Predicting students' academic performance is one of the key tasks of educational data mining (EDM). Traditionally, the high forecasting quality of such models was deemed critical.…

cs.LG2022★ 8 cited

Private Graph Extraction via Feature Explanations

Iyiola E. Olatunji, Mandeep Rathee, Thorben Funke +1

Privacy and interpretability are two important ingredients for achieving trustworthy machine learning. We study the interplay of these two aspects in graph machine learning through…

cs.LG2022★ 1 cited

Ovid: A Machine Learning Approach for Automated Vandalism Detection in OpenStreetMap

Nicolas Tempelmeier, Elena Demidova

OpenStreetMap is a unique source of openly available worldwide map data, increasingly adopted in real-world applications. Vandalism detection in OpenStreetMap is critical and remar…

cs.LG2022★ 5 cited

Attention-Based Vandalism Detection in OpenStreetMap

Nicolas Tempelmeier, Elena Demidova

OpenStreetMap (OSM), a collaborative, crowdsourced Web map, is a unique source of openly available worldwide map data, increasingly adopted in Web applications. Vandalism detection…