Adversarial Machine Learning and Cybersecurity: Risks, Challenges, and Legal Implications. - Micah Musser; Andrew Lohn; James X. Dempsey; Jonathan M. Spring; Ram Shankar Siva Kumar; Brenda Leong; Christina Liaghati; Cindy Martinez; Crystal D. Grant; Daniel Rohrer; Heather Frase; Jonathan Elliott; et al. (CoRR, 2023)

Introducing v0.5 of the AI Safety Benchmark from MLCommons. - Bertie Vidgen; Adarsh Agrawal; Ahmed M. Ahmed 004; Victor Akinwande; Namir Al-Nuaimi; Najla Alfaraj; Elie Alhajjar; Lora Aroyo; Trupti Bavalatti; Borhane Blili-Hamelin; Kurt D. Bollacker; Rishi Bomassani; et al. (CoRR, 2024)

Lessons for Editors of AI Incidents from the AI Incident Database. - Kevin Paeth; Daniel Atherton; Nikiforos Pittaras; Heather Frase; Sean McGregor (AAAI, 2025)

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons. - Shaona Ghosh; Heather Frase; Adina Williams; Sarah Luger; Paul Röttger; Fazl Barez; Sean McGregor; Kenneth Fricklas; Mala Kumar; Quentin Feuillade-Montixi; Kurt Bollacker; Felix Friedrich; et al. (CoRR, 2025)

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects. - Reva Schwartz; Rumman Chowdhury; Akash Kundu; Heather Frase; Marzieh Fadaee; Tom David; Gabriella Waters; Afaf Taik; Morgan Briggs; Patrick Hall 001; Shomik Jain; Kyra Yee; et al. (CoRR, 2025)

Red Teaming for Generative AI, Report on a Copyright-Focused Exercise Completed in an Academic Medical Center. - James Wen; Sahil S. Nalawade; Zhiwei Liang; Catherine Bielick; Marisa Ferrara Boston; Alexander Chowdhury; Adele Collin; Luigi De Angelis; Jacob Ellen; Heather Frase; Rodrigo R. Gameiro; Juan Manuel Gutierrez; et al. (CoRR, 2025)