Shruti Tople

Shruti Tople is a Principal Researcher at Microsoft Research in the Azure Research – Security and Privacy group. She holds a Ph.D. from the School of Computing at the National University of Singapore (NUS), where she received the Dean's Graduate Research Excellence Award. Her work focuses on quantifying and mitigating information leakage in machine learning models while preserving their utility.

Key Research Areas include:

• Systems Security
• Privacy in Machine Learning
• Differential Privacy
• Causal Learning
• Transfer Learning for Vision & Language Models

Recent Publications address challenges such as membership inference attacks, federated backdoor defense, and privacy-enhanced deep learning. Her open-source projects like Analyzing PII Leakage and RobustDG provide practical tools for differential privacy and domain generalization. She collaborates with interns from institutions like NUS, University of Waterloo, and Imperial College London.

Scientific Awards:

• Dean's Graduate Research Excellence Award (NUS)