Adversarial training for high-stakes reliability. - Daniel M. Ziegler; Seraphina Nix; Lawrence Chan; Tim Bauman; Peter Schmidt-Nielsen; Tao Lin; Adam Scherlis; Noa Nabeshima; Ben Weinstein-Raun; Daniel de Haas; Buck Shlegeris; Nate Thomas (NeurIPS, 2022)

Measurement Tampering Detection Benchmark. - Fabien Roger; Ryan Greenblatt; Max Nadeau; Buck Shlegeris; Nate Thomas (CoRR, 2023)