Scholar
Krishna Pillutla
Google Scholar ID: xUUEAG4AAAAJ
IIT Madras
Citations & Impact
Citations
2,192
H-index
15
i10-index
18
Publications
20
Co-authors
29
list available
Publications
Resume (English only)
Academic Achievements
- Recipient of a NeurIPS outstanding paper award; 2019-20 J.P. Morgan PhD Fellow; Published multiple papers on differentially private learning, synthetic data generation, robust federated learning, etc.; First student paper from his IITM group accepted to NeurIPS 2025; Released a monograph on correlated noise mechanisms for differentially private learning; Received the Google India Research Award; Paper on user inference attacks for LLMs accepted for an oral presentation at EMNLP 2024.
Research Experience
- Currently an Assistant Professor and Narayanan Family Foundation Fellow at the Wadhwani School of Data Science & AI and a principal investigator at the Centre for Responsible AI (CeRAI) at IIT Madras; Previously a visiting researcher (postdoc) at Google Research in the Federated Learning team.
Education
- PhD: Paul G. Allen School of Computer Science & Engineering at the University of Washington, advised by Zaid Harchaoui and Sham Kakade; Master's: Carnegie Mellon University, worked with Nina Balcan; Undergraduate: IIT Bombay.
Background
- Research interests include privacy-preserving and robust machine learning/AI, particularly the learning and inference of LLMs and generative AI, with applications to healthcare and public good.
Miscellany
- Contact: [my-first-name][my-last-initial] @ dsai [dot] iitm [dot] ac [dot] in; Interested in joining? See here.
