Affine extractors over large fields with exponential error. - Jean Bourgain; Zeev Dvir; Ethan Leeman (Comput. Complex., 2016)

Regression with Label Differential Privacy. - Badih Ghazi; Pritish Kamath; Ravi Kumar 001; Ethan Leeman; Pasin Manurangsi; Avinash V. Varadarajan; Chiyuan Zhang (ICLR, 2023)

Optimal Unbiased Randomizers for Regression with Label Differential Privacy. - Ashwinkumar Badanidiyuru Varadaraja; Badih Ghazi; Pritish Kamath; Ravi Kumar 001; Ethan Leeman; Pasin Manurangsi; Avinash V. Varadarajan; Chiyuan Zhang (NeurIPS, 2023)

On the Differential Privacy and Interactivity of Privacy Sandbox Reports. - Badih Ghazi; Charlie Harrison; Arpana Hosabettu; Pritish Kamath; Alexander Knop; S. Ravi Kumar 001; Ethan Leeman; Pasin Manurangsi; Vikas Sahu (CoRR, 2024)

Balls-and-Bins Sampling for DP-SGD. - Lynn Chua; Badih Ghazi; Charlie Harrison; Pritish Kamath; Ravi Kumar 001; Ethan Leeman; Pasin Manurangsi; Amer Sinha; Chiyuan Zhang (AISTATS, 2025)

On the Differential Privacy and Interactivity of Privacy Sandbox Reports. - Badih Ghazi; Charlie Harrison; Arpana Hosabettu; Pritish Kamath; Alexander Knop; Ravi Kumar 001; Ethan Leeman; Pasin Manurangsi; Mariana Raykova 001; Vikas Sahu; Phillipp Schoppmann (Proc. Priv. Enhancing Technol., 2025)