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2020 – today
- 2025
[j2]Noel Teku, Fengwei Tian, Payel Bhattacharjee, Souradip Chakraborty, Amrit Singh Bedi, Ravi Tandon:
PROPS: Progressively Private Self-alignment of Large Language Models. Trans. Mach. Learn. Res. 2025 (2025)- [i5]Payel Bhattacharjee, Fengwei Tian, Ravi Tandon, Joseph Y. Lo, Heidi A. Hanson, Geoffrey Rubin, Nirav Merchant, John Gounley:
Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification. CoRR abs/2506.04450 (2025) - [i4]Zihan Guan, Zhiyuan Zhao, Fengwei Tian, Dung Nguyen, Payel Bhattacharjee, Ravi Tandon, B. Aditya Prakash, Anil Vullikanti:
A Framework for Multi-source Privacy Preserving Epidemic Analysis. CoRR abs/2506.22342 (2025) - [i3]Noel Teku, Fengwei Tian, Payel Bhattacharjee, Souradip Chakraborty, Amrit Singh Bedi, Ravi Tandon:
PROPS: Progressively Private Self-alignment of Large Language Models. CoRR abs/2508.06783 (2025) - [i2]Payel Bhattacharjee, Fengwei Tian, Meiyu Zhong, Guangyi Zhang, Osvaldo Simeone, Ravi Tandon:
Conformal Sparsification for Bandwidth-Efficient Edge-Cloud Speculative Decoding. CoRR abs/2510.09942 (2025) - 2024
- [j1]Payel Bhattacharjee
, Ravi Tandon:
CURATE: Scaling-Up Differentially Private Causal Graph Discovery. Entropy 26(11): 946 (2024) - [c1]Payel Bhattacharjee, Ravi Tandon:
Adaptive Privacy for Differentially Private Causal Graph Discovery. MLSP 2024: 1-6 - [i1]Payel Bhattacharjee, Ravi Tandon:
CURATE: Scaling-up Differentially Private Causal Graph Discovery. CoRR abs/2409.19060 (2024)
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