I have joined the Department of Informatics as a Ph.D. Research Employee on November 2021. My research area is related to Explainable Artificial Intelligence, Distributed Machine Learning, Data privacy, and security. My supervisor is Prof. Yan Zhang. My co-supervisors are Prof. Sabita Maharjan and Frank Eliassen. Currently, I am working on Explainable AI to find a balance in an accuracy-explainability tradeoff for complex ML models.
Publications
- Sengupta, Poushali, Sudipta Paul, and Subhankar Mishra. "BUDS: balancing utility and differential privacy by shuffling." 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT) . IEEE, 2020.
- Sengupta, Poushali, Sudipta Paul, and Subhankar Mishra. "Learning with differential privacy." Handbook of Research on Cyber Crime and Information Privacy . IGI Global, 2021. 372-395.
- Sengupta, Poushali, and Subhankar Mishra. "Fairly Private Through Group Tagging and Relational Impact." Modeling Decisions for Artificial Intelligence: 18th International Conference, MDAI 2021, Umeå, Sweden, September 27–30, 2021, Proceedings 18 . Springer International Publishing, 2021.
- Sengupta, Poushali, Sudipta Paul, and Subhankar Mishra. "BUDS+: Better Privacy with Converger and Noisy Shuffling." Digital Threats: Research and Practice .
- Paul, Sudipta, Poushali Sengupta, and Subhankar Mishra. "Flaps: Federated learning and privately scaling." 2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS) . IEEE, 2020.