Payel Bhattacharjee

According to our database, Payel Bhattacharjee authored at least 4 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Framework for Multi-source Privacy Preserving Epidemic Analysis.

Zihan Guan, Zhiyuan Zhao, Fengwei Tian, Dung Nguyen, Payel Bhattacharjee, Ravi Tandon, B. Aditya Prakash, Anil Vullikanti

CoRR, June, 2025

Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification.

Payel Bhattacharjee, Fengwei Tian, Ravi Tandon, Joseph Y. Lo, Heidi A. Hanson, Geoffrey Rubin, Nirav Merchant, John Gounley

CoRR, June, 2025

2024

CURATE: Scaling-up Differentially Private Causal Graph Discovery.

Payel Bhattacharjee, Ravi Tandon

CoRR, 2024

Adaptive Privacy for Differentially Private Causal Graph Discovery.

Payel Bhattacharjee, Ravi Tandon

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024