Sargam Gupta

PhD student

Contact

Works as

Doctoral student at Department of Computing Science

I am a WASP PhD student of the NAUSICA: PrivAcy AWare transparent decisions group. I am also a member of WASP NEST CyberSecIT project. My research mostly focuses on federated learning, machine learning and privacy attacks. For more please check out my Google Scholar profile.

Privacy-enhancing federated time-series forecasting: a microaggregation-based approach

SECRYPT 2025: Proceedings of the 22nd international conference on security and cryptography, SciTePress 2025 : 765-770

Gupta, Sargam; Torra, Vicenç

Differentially private traffic flow prediction using transformers: a federated approach

Computer Security. ESORICS 2023 International Workshops: CyberICS, DPM, CBT, and SECPRE, The Hague, The Netherlands, September 25–29, 2023, Revised Selected Papers, Part I, Springer Nature 2024 : 260-271

Gupta, Sargam; Torra, Vicenç

Evaluating the performance of FedCLUS algorithm using FedCI: a new federated cluster validity metric

SN Computer Science, Springer 2024, Vol. 5, (4)

Sharma, Shachi; Gupta, Sargam

View publications in DiVA

Research groups

Group member

NAUSICA: PrivAcy-AWare traNSparent deCIsions group

I have been a teaching assistant for Data Privacy Course.