Rakshit Naidu - RankMe

20 papers A* 1Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Personalized Differential Privacy for Ridge Regression. CoRR Krishna Acharya, Franziska Boenisch, Rakshit Naidu, Juba Ziani
2023	J	`jnl`	Are Chatbots Ready for Privacy-Sensitive Applications? An Investigation into Input Regurgitation and Prompt-Induced Sanitization. CoRR Aman Priyanshu, Supriti Vijay, Ayush Kumar, Rakshit Naidu, Fatemehsadat Mireshghallah
2023	—	`conf`	Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools. EAAMO Emily Black, Rakshit Naidu, Rayid Ghani, Kit T. Rodolfa, Daniel E. Ho, Hoda Heidari
2023	J	`jnl`	Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools. CoRR Emily Black, Rakshit Naidu, Rayid Ghani, Kit T. Rodolfa, Daniel E. Ho, Hoda Heidari
2022	J	`jnl`	Can Causal (and Counterfactual) Reasoning improve Privacy Threat Modelling? CoRR Rakshit Naidu, Navid Kagalwalla
2022	J	`jnl`	Fair Context-Aware Privacy Threat Modelling. CoRR Saswat Das, Rakshit Naidu
2022	J	`jnl`	Interpretability of Fine-grained Classification of Sadness and Depression. CoRR Tiasa Singha Roy, Priyam Basu, Aman Priyanshu, Rakshit Naidu
2022	A*	`conf`	Pruning has a disparate impact on model accuracy. NeurIPS Cuong Tran, Ferdinando Fioretto, Jung-Eun Kim, Rakshit Naidu
2022	J	`jnl`	Pruning has a disparate impact on model accuracy. CoRR Cuong Tran, Ferdinando Fioretto, Jung-Eun Kim, Rakshit Naidu
2021	J	`jnl`	Benchmarking Differential Privacy and Federated Learning for BERT Models. CoRR Priyam Basu, Tiasa Singha Roy, Rakshit Naidu, Zümrüt Müftüoglu, Sahib Singh, Fatemehsadat Mireshghallah
2021	J	`jnl`	DP-SGD vs PATE: Which Has Less Disparate Impact on Model Accuracy? CoRR Archit Uniyal, Rakshit Naidu, Sasikanth Kotti, Sahib Singh, Patrik Joslin Kenfack, Fatemehsadat Mireshghallah, Andrew Trask
2021	J	`jnl`	Efficient Hyperparameter Optimization for Differentially Private Deep Learning. CoRR Aman Priyanshu, Rakshit Naidu, Fatemehsadat Mireshghallah, Mohammad Malekzadeh
2021	J	`jnl`	FedPandemic: A Cross-Device Federated Learning Approach Towards Elementary Prognosis of Diseases During a Pandemic. CoRR Aman Priyanshu, Rakshit Naidu
2021	J	`jnl`	Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning. CoRR Priyam Basu, Tiasa Singha Roy, Rakshit Naidu, Zümrüt Müftüoglu
2021	J	`jnl`	Towards Quantifying the Carbon Emissions of Differentially Private Machine Learning. CoRR Rakshit Naidu, Harshita Diddee, Ajinkya Mulay, Aleti Vardhan, Krithika Ramesh, Ahmed S. Zamzam
2021	J	`jnl`	When Differential Privacy Meets Interpretability: A Case Study. CoRR Rakshit Naidu, Aman Priyanshu, Aadith Kumar, Sasikanth Kotti, Haofan Wang, Fatemehsadat Mireshghallah
2020	—	`conf`	FedPerf: A Practitioners' Guide to Performance of Federated Learning Algorithms. Preregister@NeurIPS Ajinkya Mulay, Gaspard Baye, Rakshit Naidu, Santiago González-Toral, Vineeth S, Tushar Semwal, Ayush Manish Agrawal
2020	J	`jnl`	IS-CAM: Integrated Score-CAM for axiomatic-based explanations. CoRR Rakshit Naidu, Ankita Ghosh, Yash Maurya, Shamanth R. Nayak K, Soumya Snigdha Kundu
2020	J	`jnl`	SS-CAM: Smoothed Score-CAM for Sharper Visual Feature Localization. CoRR Rakshit Naidu, Joy Michael
2020	J	`jnl`	TeleVital: Enhancing the quality of contactless health assessment. CoRR Jithin Sunny, Joel Jogy, Rohan Rout, Rakshit Naidu