Payel Bhattacharjee

According to our database, Payel Bhattacharjee authored at least 8 papers between 2024 and 2026.

Collaborative distances:

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

2026

MARS: Margin-Aware Reward-Modeling with Self-Refinement.

Payel Bhattacharjee, Osvaldo Simeone, Ravi Tandon

CoRR, February, 2026

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

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

IEEE Access, 2026

STAMP: Selective Task-Aware Mechanism for Text Privacy.

Fengwei Tian, Payel Bhattacharjee, Heidi A. Hanson, Geoffrey D. Rubin, Joseph Y. Lo, Ravi Tandon

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Conformal Sparsification for Bandwidth-Efficient Edge-Cloud Speculative Decoding.

Payel Bhattacharjee, Fengwei Tian, Meiyu Zhong, Guangyi Zhang, Osvaldo Simeone, Ravi Tandon

CoRR, October, 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

PROPS: Progressively Private Self-alignment of Large Language Models.

Noel Teku, Fengwei Tian, Payel Bhattacharjee, Souradip Chakraborty, Amrit Singh Bedi, Ravi Tandon

Trans. Mach. Learn. Res., 2025

2024

CURATE: Scaling-Up Differentially Private Causal Graph Discovery.

Payel Bhattacharjee, Ravi Tandon

Entropy, 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