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

Preventing Language Models From Hiding Their Reasoning. - Fabien Roger; Ryan Greenblatt (CoRR, 2023)

AI Control: Improving Safety Despite Intentional Subversion. - Ryan Greenblatt; Buck Shlegeris; Kshitij Sachan; Fabien Roger (ICML, 2024)

Stress-Testing Capability Elicitation With Password-Locked Models. - Ryan Greenblatt; Fabien Roger; Dmitrii Krasheninnikov; David Krueger 001 (NeurIPS, 2024)

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training. - Evan Hubinger; Carson Denison; Jesse Mu; Mike Lambert; Meg Tong; Monte MacDiarmid; Tamera Lanham; Daniel M. Ziegler; Tim Maxwell; Newton Cheng; Adam S. Jermyn; Amanda Askell; et al. (CoRR, 2024)

Alignment faking in large language models. - Ryan Greenblatt; Carson Denison; Benjamin Wright; Fabien Roger; Monte MacDiarmid; Samuel Marks; Johannes Treutlein; Tim Belonax; Jack Chen; David Duvenaud; Akbir Khan; Julian Michael; et al. (CoRR, 2024)

Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety. - Tomek Korbak; Mikita Balesni; Elizabeth Barnes; Yoshua Bengio; Joe Benton; Joseph Bloom; Mark Chen 003; Alan Cooney; Allan Dafoe; Anca D. Dragan; Scott Emmons; Owain Evans; et al. (CoRR, 2025)