no code implementations • NeurIPS 2023 • Ashwinkumar Badanidiyuru, Badih Ghazi, Pritish Kamath, Ravi Kumar, Ethan Leeman, Pasin Manurangsi, Avinash V Varadarajan, Chiyuan Zhang
We propose a new family of label randomizers for training regression models under the constraint of label differential privacy (DP).
no code implementations • 12 Dec 2022 • Badih Ghazi, Pritish Kamath, Ravi Kumar, Ethan Leeman, Pasin Manurangsi, Avinash V Varadarajan, Chiyuan Zhang
We study the task of training regression models with the guarantee of label differential privacy (DP).
no code implementations • 21 Nov 2022 • Carson Denison, Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Krishna Giri Narra, Amer Sinha, Avinash V Varadarajan, Chiyuan Zhang
A well-known algorithm in privacy-preserving ML is differentially private stochastic gradient descent (DP-SGD).