Confused Johnny: when automatic encryption leads to confusion and mistakes. - Scott Ruoti; Nathan Kim; Ben Burgon; Timothy W. van der Horst; Kent E. Seamons (SOUPS, 2013)

A Reliable Multi-classifier Multi-objective Model for Predicting Recurrence in Triple Negative Breast Cancer. - Xi Chen; Zhiguo Zhou; Kimberly Thomas; Michael Folkert; Nathan Kim; Asal Rahimi; Jing Wang 022 (EMBC, 2019)

Saliency-Guided Deep Learning Network for Automatic Tumor Bed Volume Delineation in Post-operative Breast Irradiation. - Mahdieh Kazemimoghadam; Weicheng Chi; Asal Rahimi; Nathan Kim; Prasanna Alluri; Chika Nwachukwu; Weiguo Lu; Xuejun Gu (CoRR, 2021)

GLARE: Generative Left-to-right AdversaRial Examples. - Ryan Chi; Nathan Kim; Patrick Liu; Zander Lack; Ethan A. Chi (Eval4NLP, 2022)

Holistic Evaluation of Language Models. - Percy Liang; Rishi Bommasani; Tony Lee; Dimitris Tsipras; Dilara Soylu; Michihiro Yasunaga; Yian Zhang; Deepak Narayanan; Yuhuai Wu; Ananya Kumar; Benjamin Newman; Binhang Yuan; et al. (Trans. Mach. Learn. Res., 2023)

Design of Autonomous Battery Swapping for UAVs. - Maggie Hoang; Alexander Ov; Shawn Chen; Don Huynh; Jose Vega; Nathan Kim; Yash Karwal; Steven Dobbs; Zhen Yu (AIM, 2024)

Fostering AI Literacy Through Simple Prompting Exercises Using Dall-E. - Tatiana R. Ringenberg; Nidhi Bhardwaj; Nathan Kim; Paul J. Thomas (FIE, 2024)