Aggregated Impulses: Towards Explanatory Models for Self-Similar Alpha Stable Network Traffic. - Jorge Gonzalez; Joshua Clymer; Chad A. Bollmann (ICSPCS, 2019)

Towards An Explanatory Model for Network Traffic. - Jorge Gonzalez; Joshua Clymer; Chad A. Bollmann (Sarnoff Symposium, 2019)

Generalization Analogies: A Testbed for Generalizing AI Oversight to Hard-To-Measure Domains. - Joshua Clymer; Garrett Baker; Rohan Subramani; Sam Wang (CoRR, 2023)

Safety Cases: How to Justify the Safety of Advanced AI Systems. - Joshua Clymer; Nick Gabrieli; David Krueger 001; Thomas Larsen (CoRR, 2024)

Poser: Unmasking Alignment Faking LLMs by Manipulating Their Internals. - Joshua Clymer; Caden Juang; Severin Field (CoRR, 2024)

Affirmative safety: An approach to risk management for high-risk AI. - Akash R. Wasil; Joshua Clymer; David Krueger 001; Emily Dardaman; Siméon Campos; Evan R. Murphy (CoRR, 2024)

Towards evaluations-based safety cases for AI scheming. - Mikita Balesni; Marius Hobbhahn; David Lindner; Alexander Meinke; Tomek Korbak; Joshua Clymer; Buck Shlegeris; Jérémy Scheurer; Charlotte Stix; Rusheb Shah; Nicholas Goldowsky-Dill; Dan Braun; et al. (CoRR, 2024)

A sketch of an AI control safety case. - Tomek Korbak; Joshua Clymer; Benjamin Hilton; Buck Shlegeris; Geoffrey Irving (CoRR, 2025)

Bare Minimum Mitigations for Autonomous AI Development. - Joshua Clymer; Isabella Duan; Chris Cundy; Yawen Duan; Fynn Heide; Chaochao Lu; Sören Mindermann; Conor McGurk; Xudong Pan; Saad Siddiqui; Jingren Wang; Min Yang; et al. (CoRR, 2025)

An Example Safety Case for Safeguards Against Misuse. - Joshua Clymer; Jonah Weinbaum; Robert Kirk; Kimberly Mai; Selena Zhang; Xander Davies (CoRR, 2025)