Differentially Private Mixed-Type Data Generation For Unsupervised Learning. - Uthaipon Tantipongpipat; Chris Waites; Digvijay Boob; Amaresh Ankit Siva; Rachel Cummings (CoRR, 2019)

Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation. - Chris Waites; Rachel Cummings (AIES, 2021)

Adaptive Machine Unlearning. - Varun Gupta 006; Christopher Jung 001; Seth Neel; Aaron Roth 001; Saeed Sharifi-Malvajerdi; Chris Waites (NeurIPS, 2021)

GABO: Graph Augmentations with Bi-level Optimization. - Heejung W. Chung; Avoy Datta; Chris Waites (CoRR, 2021)

Differentially private synthetic mixed-type data generation for unsupervised learning. - Uthaipon Tao Tantipongpipat; Chris Waites; Digvijay Boob; Amaresh Ankit Siva; Rachel Cummings (Intell. Decis. Technol., 2021)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)