Poushali Sengupta

According to our database, Poushali Sengupta authored at least 7 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

BUDS+: Better Privacy with Converger and Noisy Shuffling.

Poushali Sengupta, Sudipta Paul, Subhankar Mishra

DTRAP, 2023

Privacy-preserving transactive energy systems: Key topics and open research challenges.

Daniel Gerbi Duguma, Juliana Zhang, Meysam Aboutalebi, Shiliang Zhang, Catherine Banet, Cato Bjørkli, Chinmayi Prabhu Baramashetru, Frank Eliassen, Hui Zhang, Jonathan Muringani, Josef Noll, Knut Inge Fostervold, Lars Böcker, Lee Andrew Bygrave, Matin Bagherpour, Maunya Doroudi Moghadam, Olaf Owe, Poushali Sengupta, Roman Vitenberg, Sabita Maharjan, Thiago Garrett, Yushuai Li, Zhengyu Shan

CoRR, 2023

Balancing Explainability-Accuracy of Complex Models.

Poushali Sengupta, Yan Zhang, Sabita Maharjan, Frank Eliassen

CoRR, 2023

2021

Fairly Private Through Group Tagging and Relation Impact.

Poushali Sengupta, Subhankar Mishra

Proceedings of the Modeling Decisions for Artificial Intelligence, 2021

2020

Learning With Differential Privacy.

Poushali Sengupta, Sudipta Paul, Subhankar Mishra

CoRR, 2020

FLaPS: Federated Learning and Privately Scaling.

Sudipta Paul, Poushali Sengupta, Subhankar Mishra

Proceedings of the 17th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2020

BUDS: Balancing Utility and Differential Privacy by Shuffling.

Poushali Sengupta, Sudipta Paul, Subhankar Mishra

Proceedings of the 11th International Conference on Computing, 2020