PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model. - Abhinav Chakraborty 002; Anirban Chatterjee; Abhinandan Dalal (AISTATS, 2024)

PriME: Privacy-aware Membership profile Estimation in networks. - Abhinav Chakraborty 002; Sayak Chatterjee; Sagnik Nandy (CoRR, 2024)

Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests. - T. Tony Cai; Abhinav Chakraborty 002; Lasse Vuursteen (CoRR, 2024)

Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints. - T. Tony Cai; Abhinav Chakraborty 002; Lasse Vuursteen (CoRR, 2024)

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints. - T. Tony Cai; Abhinav Chakraborty 002; Lasse Vuursteen (CoRR, 2024)