Generalized SHAP: Generating multiple types of explanations in machine learning. - Dillon Bowen; Lyle H. Ungar (CoRR, 2020)

Multiple Inference: A Python package for comparing multiple parameters. - Dillon Bowen (J. Open Source Softw., 2022)

A StrongREJECT for Empty Jailbreaks. - Alexandra Souly; Qingyuan Lu; Dillon Bowen; Tu Trinh; Elvis Hsieh; Sana Pandey; Pieter Abbeel; Justin Svegliato; Scott Emmons; Olivia Watkins; Sam Toyer (NeurIPS, 2024)

Scaling Laws for Data Poisoning in LLMs. - Dillon Bowen; Brendan Murphy; Will Cai; David Khachaturov; Adam Gleave; Kellin Pelrine (CoRR, 2024)

Scaling Trends for Data Poisoning in LLMs. - Dillon Bowen; Brendan Murphy; Will Cai; David Khachaturov; Adam Gleave; Kellin Pelrine (AAAI, 2025)

AI Companies Should Report Pre- and Post-Mitigation Safety Evaluations. - Dillon Bowen; Ann-Kathrin Dombrowski; Adam Gleave; Chris Cundy (CoRR, 2025)

The Safety Gap Toolkit: Evaluating Hidden Dangers of Open-Source Models. - Ann-Kathrin Dombrowski; Dillon Bowen; Adam Gleave; Chris Cundy (CoRR, 2025)

Jailbreak-Tuning: Models Efficiently Learn Jailbreak Susceptibility. - Brendan Murphy; Dillon Bowen; Shahrad Mohammadzadeh; Julius Broomfield; Adam Gleave; Kellin Pelrine (CoRR, 2025)