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Poushali Sengupta
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2020 – today
- 2023
- [j1]Poushali Sengupta, Sudipta Paul, Subhankar Mishra:
BUDS+: Better Privacy with Converger and Noisy Shuffling. DTRAP 4(2): 25:1-25:23 (2023) - [i6]Poushali Sengupta, Yan Zhang, Sabita Maharjan, Frank Eliassen:
Balancing Explainability-Accuracy of Complex Models. CoRR abs/2305.14098 (2023) - [i5]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:
Privacy-preserving transactive energy systems: Key topics and open research challenges. CoRR abs/2312.11564 (2023) - 2021
- [c3]Poushali Sengupta
, Subhankar Mishra
Fairly Private Through Group Tagging and Relation Impact. MDAI 2021: 259-272 - [i4]Poushali Sengupta, Subhankar Mishra:
Fairly Private Through Group Tagging and Relation Impact. CoRR abs/2105.07244 (2021) - 2020
- [c2]Poushali Sengupta, Sudipta Paul, Subhankar Mishra:
BUDS: Balancing Utility and Differential Privacy by Shuffling. ICCCNT 2020: 1-7 - [c1]Sudipta Paul, Poushali Sengupta, Subhankar Mishra:
FLaPS: Federated Learning and Privately Scaling. MASS 2020: 13-19 - [i3]Poushali Sengupta, Sudipta Paul
BUDS: Balancing Utility and Differential Privacy by Shuffling. CoRR abs/2006.04125 (2020) - [i2]Poushali Sengupta, Sudipta Paul, Subhankar Mishra:
Learning With Differential Privacy. CoRR abs/2006.05609 (2020) - [i1]Sudipta Paul
FLaPS: Federated Learning and Privately Scaling. CoRR abs/2009.06005 (2020)
Coauthor Index
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