Chowdhury, Amrita Roy

7 publications

NeurIPS 2025 Differentially Private Quantiles with Smaller Error Jacob Imola, Fabrizio Boninsegna, Hannah Keller, Anders Aamand, Amrita Roy Chowdhury, Rasmus Pagh

NeurIPS 2025 What Really Is a Member? Discrediting Membership Inference via Poisoning Neal Mangaokar, Ashish Hooda, Zhuohang Li, Bradley A. Malin, Kassem Fawaz, Somesh Jha, Atul Prakash, Amrita Roy Chowdhury

ICLRW 2024 FairProof : Confidential and Certifiable Fairness for Neural Networks Chhavi Yadav, Amrita Roy Chowdhury, Dan Boneh, Kamalika Chaudhuri

NeurIPSW 2024 FairProof : Confidential and Certifiable Fairness for Neural Networks Chhavi Yadav, Amrita Roy Chowdhury, Dan Boneh, Kamalika Chaudhuri

ICLR 2022 Privacy Implications of Shuffling Casey Meehan, Amrita Roy Chowdhury, Kamalika Chaudhuri, Somesh Jha

ICML 2020 Concise Explanations of Neural Networks Using Adversarial Training Prasad Chalasani, Jiefeng Chen, Amrita Roy Chowdhury, Xi Wu, Somesh Jha

ICML 2020 Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models Amrita Roy Chowdhury, Theodoros Rekatsinas, Somesh Jha