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Prasant Mohapatra

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Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias

Jan 03, 2024
Anshuman Chhabra, Hadi Askari, Prasant Mohapatra

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Multi-agent Reinforcement Learning: A Comprehensive Survey

Dec 15, 2023
Dom Huh, Prasant Mohapatra

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Fairness Uncertainty Quantification: How certain are you that the model is fair?

Apr 27, 2023
Abhishek Roy, Prasant Mohapatra

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Decentralized Multi-agent Filtering

Jan 21, 2023
Dom Huh, Prasant Mohapatra

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Federated Learning Hyper-Parameter Tuning from a System Perspective

Nov 24, 2022
Huanle Zhang, Lei Fu, Mi Zhang, Pengfei Hu, Xiuzhen Cheng, Prasant Mohapatra, Xin Liu

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Robust Fair Clustering: A Novel Fairness Attack and Defense Framework

Oct 04, 2022
Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu

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On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses

Oct 04, 2022
Anshuman Chhabra, Ashwin Sekhari, Prasant Mohapatra

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Fairness Degrading Adversarial Attacks Against Clustering Algorithms

Oct 22, 2021
Anshuman Chhabra, Adish Singla, Prasant Mohapatra

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Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective

Oct 06, 2021
Huanle Zhang, Mi Zhang, Xin Liu, Prasant Mohapatra, Michael DeLucia

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Fair Clustering Using Antidote Data

Jun 01, 2021
Anshuman Chhabra, Adish Singla, Prasant Mohapatra

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