Rakshit Naidu

1. DP-SGD vs PATE: Which Has Less Disparate Impact on Model Accuracy?
   2021/06/22 by Archit Uniyal, Uniyal, Archit, Rakshit Naidu +11 · 3 citations
   Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy, Security, and Data Protection #Privacy-Preserving Technologies in Data
2. Pruning has a disparate impact on model accuracy
   2022/05/26 by Cuong Tran, Tran, Cuong, Ferdinando Fioretto +5 · 2 citations
   Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Statistical Methods and Inference
3. Towards Quantifying the Carbon Emissions of Differentially Private Machine Learning
   2021/07/14 by Rakshit Naidu, Naidu, Rakshit, Harshita Diddee +9 · 1 citation
   Computer Science · #Age of Information Optimization #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Privacy-Preserving Technologies in Data
4. Personalized Differential Privacy for Ridge Regression
   2024/01/30 by Krishna Prasad Acharya, Franziska Boenisch, Acharya, Krishna +5 · 1 citation
   Computer Science · Mathematics · #Computers and Society (cs.CY) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Statistical Methods and Inference
5. Privacy Cost as Equity Input: A Group Fairness Criterion for Differentially Private Machine Learning
   2026/07/18 by Rakshit Naidu
   #cs.LG #cs.AI #cs.CR #cs.CY