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Rakshit Naidu

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Personalized Differential Privacy for Ridge Regression

Jan 30, 2024
Krishna Acharya, Franziska Boenisch, Rakshit Naidu, Juba Ziani

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Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools

Sep 29, 2023
Emily Black, Rakshit Naidu, Rayid Ghani, Kit T. Rodolfa, Daniel E. Ho, Hoda Heidari

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Are Chatbots Ready for Privacy-Sensitive Applications? An Investigation into Input Regurgitation and Prompt-Induced Sanitization

May 24, 2023
Aman Priyanshu, Supriti Vijay, Ayush Kumar, Rakshit Naidu, Fatemehsadat Mireshghallah

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Pruning has a disparate impact on model accuracy

May 26, 2022
Cuong Tran, Ferdinando Fioretto, Jung-Eun Kim, Rakshit Naidu

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Interpretability of Fine-grained Classification of Sadness and Depression

Mar 20, 2022
Tiasa Singha Roy, Priyam Basu, Aman Priyanshu, Rakshit Naidu

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Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning

Oct 04, 2021
Priyam Basu, Tiasa Singha Roy, Rakshit Naidu, Zumrut Muftuoglu

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Efficient Hyperparameter Optimization for Differentially Private Deep Learning

Aug 09, 2021
Aman Priyanshu, Rakshit Naidu, Fatemehsadat Mireshghallah, Mohammad Malekzadeh

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Towards Quantifying the Carbon Emissions of Differentially Private Machine Learning

Jul 14, 2021
Rakshit Naidu, Harshita Diddee, Ajinkya Mulay, Aleti Vardhan, Krithika Ramesh, Ahmed Zamzam

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Benchmarking Differential Privacy and Federated Learning for BERT Models

Jun 26, 2021
Priyam Basu, Tiasa Singha Roy, Rakshit Naidu, Zumrut Muftuoglu, Sahib Singh, Fatemehsadat Mireshghallah

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When Differential Privacy Meets Interpretability: A Case Study

Jun 25, 2021
Rakshit Naidu, Aman Priyanshu, Aadith Kumar, Sasikanth Kotti, Haofan Wang, Fatemehsadat Mireshghallah

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