Payel Bhattacharjee

Orcid: 0009-0006-7506-8300

According to our database1, Payel Bhattacharjee authored at least 8 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
MARS: Margin-Aware Reward-Modeling with Self-Refinement.
CoRR, February, 2026

Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification.
IEEE Access, 2026

STAMP: Selective Task-Aware Mechanism for Text Privacy.
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.
CoRR, October, 2025

A Framework for Multi-source Privacy Preserving Epidemic Analysis.
CoRR, June, 2025

PROPS: Progressively Private Self-alignment of Large Language Models.
Trans. Mach. Learn. Res., 2025

2024
CURATE: Scaling-Up Differentially Private Causal Graph Discovery.
Entropy, 2024

Adaptive Privacy for Differentially Private Causal Graph Discovery.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024


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