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Rakshit Naidu
Rakshit Naidu
Georgia Institute of Technology, Carnegie Mellon University
E-mail confirmado em gatech.edu - Página inicial
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Benchmarking Differential Privacy and Federated Learning for BERT Models
P Basu, TS Roy, R Naidu, Z Muftuoglu, S Singh, F Mireshghallah
arXiv preprint arXiv:2106.13973, 2021
103*2021
SS-CAM: Smoothed Score-CAM for sharper visual feature localization
H Wang, R Naidu, J Michael
arXiv preprint arXiv:2006.14255, 2020
942020
IS-CAM: Integrated Score-CAM for axiomatic-based explanations
R Naidu, A Ghosh, Y Maurya, SS Kundu
arXiv preprint arXiv:2010.03023, 2020
54*2020
Dp-sgd vs pate: Which has less disparate impact on model accuracy?
A Uniyal, R Naidu, S Kotti, S Singh, PJ Kenfack, F Mireshghallah, A Trask
arXiv preprint arXiv:2106.12576, 2021
442021
Pruning has a disparate impact on model accuracy
C Tran, F Fioretto, JE Kim, R Naidu
Advances in neural information processing systems 35, 17652-17664, 2022
382022
Are chatbots ready for privacy-sensitive applications? An investigation into input regurgitation and prompt-induced sanitization
A Priyanshu, S Vijay, A Kumar, R Naidu, F Mireshghallah
arXiv preprint arXiv:2305.15008, 2023
312023
Towards quantifying the carbon emissions of differentially private machine learning
R Naidu, H Diddee, A Mulay, A Vardhan, K Ramesh, A Zamzam
arXiv preprint arXiv:2107.06946, 2021
182021
Toward operationalizing pipeline-aware ML fairness: A research agenda for developing practical guidelines and tools
E Black, R Naidu, R Ghani, K Rodolfa, D Ho, H Heidari
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms …, 2023
152023
Fedperf: A practitioners’ guide to performance of federated learning algorithms
A Mulay, B Gaspard, R Naidu, S Gonzalez-Toral, S Vineeth, T Semwal, ...
NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 302-324, 2021
92021
Efficient hyperparameter optimization for differentially private deep learning
A Priyanshu, R Naidu, F Mireshghallah, M Malekzadeh
arXiv preprint arXiv:2108.03888, 2021
82021
When differential privacy meets interpretability: A case study
R Naidu, A Priyanshu, A Kumar, S Kotti, H Wang, F Mireshghallah
arXiv preprint arXiv:2106.13203, 2021
72021
Benchmarking Differential Privacy and Federated Learning for BERT Models. arXiv 2021
P Basu, TS Roy, R Naidu, Z Muftuoglu, S Singh, F Mireshghallah
arXiv preprint arXiv:2106.13973, 0
5
Personalized differential privacy for ridge regression
K Acharya, F Boenisch, R Naidu, J Ziani
arXiv preprint arXiv:2401.17127, 2024
32024
FedPandemic: a cross-device federated learning approach towards elementary prognosis of diseases during a pandemic
A Priyanshu, R Naidu
arXiv preprint arXiv:2104.01864, 2021
32021
TeleVital: Enhancing the quality of contactless health assessment
J Sunny, J Jogy, R Rout, R Naidu
arXiv preprint arXiv:2007.00762, 2020
22020
Can Causal (and Counterfactual) Reasoning improve Privacy Threat Modelling?
R Naidu, N Kagalwalla
arXiv preprint arXiv:2207.09746, 2022
12022
Fair Context-Aware Privacy Threat Modelling
S Das, R Naidu
arXiv preprint arXiv:2207.09750, 2022
2022
Poster: Efficient Hyperparameter Optimization for Differentially Private Deep Learning
A Priyanshu, R Naidu, F Mireshghallah, M Malekzadeh
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