Sudipta Paul

I am a Wasp-AI PhD student. A part of the Nausica research group. My broad research topic is "Decentralized privacy across federated learning environment".

0000-0001-6561-997X

Contact

sudipta.paul@umu.se

Works at

Doctoral student at Department of Computing Science

MIT-huset, Umeå universitet, MIT.A.430 Umeå universitet, 901 87 Umeå

You can find more about my previous work here Google Scholar. Also, you can mail me anytime to discuss any research problem related to "privacy".

Edge local differential privacy for dynamic graphs

Security and privacy in social networks and big data: 9th International Symposium, SocialSec 2023, Canterbury, UK, august 14–16, 2023, Proceedings, Singapore: Springer 2023 : 224-238

Paul, Sudipta; Salas, Julián; Torra, Vicenç

Δ SFL: (Decoupled Server Federated Learning) to utilize DLG attacks in federated learning by decoupling the server

Proceedings of the 20th International Conference on Security and Cryptography, SciTePress 2023 : 577-584

Paul, Sudipta; Torra, Vicen

BUDS+: better privacy with converger and noisy shuffling

Digital Threats: Research and Practice, Association for Computing Machinery (ACM) 2023, Vol. 4, (2)

Sengupta, Poushali; Paul, Sudipta; Mishra, Subhankar

View publications in DiVA

Research groups

Group member

NAUSICA: PrivAcy-AWare traNSparent deCIsions group