BUDS+: Better Privacy with Converger and Noisy Shuffling. - Sengupta, Poushali; Paul, Sudipta; Mishra, Subhankar (DTRAP, 2023)

Balancing Explainability-Accuracy of Complex Models. - Sengupta, Poushali; Zhang, Yan; Maharjan, Sabita; Eliassen, Frank (CoRR, 2023)

Privacy-preserving transactive energy systems: Key topics and open research challenges. - Duguma, Daniel Gerbi; Zhang, Juliana; Aboutalebi, Meysam; Zhang, Shiliang; Banet, Catherine; Bjørkli, Cato; Baramashetru, Chinmayi Prabhu; Eliassen, Frank; Zhang, Hui; Muringani, Jonathan; Noll, Josef; Fostervold, Knut Inge; et al. (CoRR, 2023)

Fairly Private Through Group Tagging and Relation Impact. - Sengupta, Poushali; Mishra, Subhankar (2021)

Fairly Private Through Group Tagging and Relation Impact. - Sengupta, Poushali; Mishra, Subhankar (CoRR, 2021)

BUDS: Balancing Utility and Differential Privacy by Shuffling. - Sengupta, Poushali; Paul, Sudipta; Mishra, Subhankar (2020)

FLaPS: Federated Learning and Privately Scaling. - Paul, Sudipta; Sengupta, Poushali; Mishra, Subhankar (2020)

BUDS: Balancing Utility and Differential Privacy by Shuffling. - Sengupta, Poushali; Paul, Sudipta; Mishra, Subhankar (CoRR, 2020)

Learning With Differential Privacy. - Sengupta, Poushali; Paul, Sudipta; Mishra, Subhankar (CoRR, 2020)

FLaPS: Federated Learning and Privately Scaling. - Paul, Sudipta; Sengupta, Poushali; Mishra, Subhankar (CoRR, 2020)