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His interest is on protecting sensitive data from malicious entities and service providers using cryptographic tools. While his interest on solutions based on provably secure cryptographic protocols is the core of his research, Dr. Erkin is also investigating decentralised systems for building such protocols without trusted entities.
This line of research is applicable on several domains such as supply chain, smart grids, medicine and recommender systems, where privacy-sensitive data are processed. With the advances in machine learning, there are numerous applications of services that rely on sensitive data, which can also be misused or abused. Particularly with GDPR being effective, it is very clear that such services should be realised with privacy. Dr. Erkin is also designing privacy-preserving solutions for decentralised systems.
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PROCEEDINGS OF THE 2ND ACM DATA ECONOMY WORKSHOP, DEC 2023pp.7-13, (2023)
2023 Fifth International Conference on Blockchain Computing and Applications (BCCA)pp.266-273, (2023)
European Symposium on Research in Computer Securitypp.297-317, (2023)
PROCEEDINGS OF THE 2ND ACM DATA ECONOMY WORKSHOP, DEC 2023pp.14-20, (2023)
18TH INTERNATIONAL CONFERENCE ON AVAILABILITY, RELIABILITY & SECURITY, ARES 2023pp.25:1-25:9, (2023)
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