TY - GEN
T1 - Privacy and Transparency in Graph Machine Learning: A Unified Perspective
AU - Khosla, M.
PY - 2022
Y1 - 2022
N2 - Graph Machine Learning (GraphML), whereby classical machine learning is generalized to irregular graph domains, has enjoyed a recent renaissance, leading to a dizzying array of models and their applications in several domains. With its growing applicability to sensitive domains and regulations by governmental agencies for trustworthy AI systems, researchers have started looking into the issues of transparency and privacy of graph learning. However, these topics have been mainly investigated independently. In this position paper, we provide a unified perspective on the interplay of privacy and transparency in GraphML. In particular, we describe the challenges and possible research directions for a formal investigation of privacy-transparency tradeoffs in GraphML.
AB - Graph Machine Learning (GraphML), whereby classical machine learning is generalized to irregular graph domains, has enjoyed a recent renaissance, leading to a dizzying array of models and their applications in several domains. With its growing applicability to sensitive domains and regulations by governmental agencies for trustworthy AI systems, researchers have started looking into the issues of transparency and privacy of graph learning. However, these topics have been mainly investigated independently. In this position paper, we provide a unified perspective on the interplay of privacy and transparency in GraphML. In particular, we describe the challenges and possible research directions for a formal investigation of privacy-transparency tradeoffs in GraphML.
UR - https://ceur-ws.org/Vol-3318/short27.pdf
M3 - Conference contribution
T3 - Ceur Workshop Proceedings
BT - AIMLAI’22: In Proceedings of Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI) at CIKM’22
A2 - Drakopoulos , Georgios
A2 - Kafeza , Eleanna
T2 - CIKM 2022 31st ACM International Conference on Information and Knowledge Management (CIKM 2022)
Y2 - 17 October 2022 through 21 October 2022
ER -