Rakshit Naidu

According to our database, Rakshit Naidu authored at least 18 papers between 2020 and 2024.

Collaborative distances:

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

2024

Personalized Differential Privacy for Ridge Regression.

Krishna Acharya, Franziska Boenisch, Rakshit Naidu, Juba Ziani

CoRR, 2024

2023

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

Aman Priyanshu, Supriti Vijay, Ayush Kumar, Rakshit Naidu, Fatemehsadat Mireshghallah

CoRR, 2023

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

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

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

2022

Fair Context-Aware Privacy Threat Modelling.

Saswat Das, Rakshit Naidu

CoRR, 2022

Can Causal (and Counterfactual) Reasoning improve Privacy Threat Modelling?

Rakshit Naidu, Navid Kagalwalla

CoRR, 2022

Interpretability of Fine-grained Classification of Sadness and Depression.

Tiasa Singha Roy, Priyam Basu, Aman Priyanshu, Rakshit Naidu

CoRR, 2022

Pruning has a disparate impact on model accuracy.

Cuong Tran, Ferdinando Fioretto, Jung-Eun Kim, Rakshit Naidu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning.

Priyam Basu, Tiasa Singha Roy, Rakshit Naidu, Zümrüt Müftüoglu

CoRR, 2021

Efficient Hyperparameter Optimization for Differentially Private Deep Learning.

Aman Priyanshu, Rakshit Naidu, Fatemehsadat Mireshghallah, Mohammad Malekzadeh

CoRR, 2021

Towards Quantifying the Carbon Emissions of Differentially Private Machine Learning.

Rakshit Naidu, Harshita Diddee, Ajinkya Mulay, Aleti Vardhan, Krithika Ramesh, Ahmed S. Zamzam

CoRR, 2021

Benchmarking Differential Privacy and Federated Learning for BERT Models.

Priyam Basu, Tiasa Singha Roy, Rakshit Naidu, Zümrüt Müftüoglu, Sahib Singh, Fatemehsadat Mireshghallah

CoRR, 2021

When Differential Privacy Meets Interpretability: A Case Study.

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

CoRR, 2021

DP-SGD vs PATE: Which Has Less Disparate Impact on Model Accuracy?

Archit Uniyal, Rakshit Naidu, Sasikanth Kotti, Sahib Singh, Patrik Joslin Kenfack, Fatemehsadat Mireshghallah, Andrew Trask

CoRR, 2021

FedPandemic: A Cross-Device Federated Learning Approach Towards Elementary Prognosis of Diseases During a Pandemic.

Aman Priyanshu, Rakshit Naidu

CoRR, 2021

2020

IS-CAM: Integrated Score-CAM for axiomatic-based explanations.

Rakshit Naidu, Ankita Ghosh, Yash Maurya, Shamanth R. Nayak K, Soumya Snigdha Kundu

CoRR, 2020

TeleVital: Enhancing the quality of contactless health assessment.

Jithin Sunny, Joel Jogy, Rohan Rout, Rakshit Naidu

CoRR, 2020

SS-CAM: Smoothed Score-CAM for Sharper Visual Feature Localization.

Rakshit Naidu, Joy Michael

CoRR, 2020

FedPerf: A Practitioners' Guide to Performance of Federated Learning Algorithms.

Ajinkya Mulay, Gaspard Baye, Rakshit Naidu, Santiago González-Toral, Vineeth S, Tushar Semwal, Ayush Manish Agrawal

Proceedings of the NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 2020