Comparing Integer Linear Programming to SAT-Solving for Hard Problems in Computational and Systems Biology. - Hannah Brown; Lei Zuo 004; Dan Gusfield (AlCoB, 2020)

Design and Preliminary Evaluation of the AID Vest: An Automatic Inflatable Wearable Device for Anxiety Reduction. - Hannah Brown; Emily Shannon; Naomi T. Fitter (WHC, 2021)

Unified SAT-Solving for Hard Problems of Phylogenetic Network Construction. - Dan Gusfield; Hannah Brown (ICCABS, 2021)

What Does it Mean for a Language Model to Preserve Privacy? - Hannah Brown; Katherine Lee; Fatemehsadat Mireshghallah; Reza Shokri; Florian Tramèr (FAccT, 2022)

Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities. - Xudong Shen; Hannah Brown; Jiashu Tao; Martin Strobel 001; Yao Tong; Akshay Narayan 002; Harold Soh; Finale Doshi-Velez (CoRR, 2023)

AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments. - Yang Zhang; Yawei Li; Hannah Brown; Mina Rezaei; Bernd Bischl; Philip H. S. Torr; Ashkan Khakzar; Kenji Kawaguchi (CoRR, 2023)

Prompt Optimization via Adversarial In-Context Learning. - Xuan Long Do; Yiran Zhao 006; Hannah Brown; Yuxi Xie; James Xu Zhao; Nancy F. Chen; Kenji Kawaguchi; Michael Qizhe Xie; Junxian He (CoRR, 2023)

Prompt Optimization via Adversarial In-Context Learning. - Do Xuan Long; Yiran Zhao 006; Hannah Brown; Yuxi Xie; James Xu Zhao; Nancy F. Chen; Kenji Kawaguchi; Michael Shieh; Junxian He (ACL (1), 2024)

Can AI Be as Creative as Humans? - Haonan Wang; James Zou 001; Michael Mozer; Anirudh Goyal; Alex Lamb; Linjun Zhang; Weijie J. Su; Zhun Deng; Michael Qizhe Xie; Hannah Brown; Kenji Kawaguchi (CoRR, 2024)

Self-Evaluation as a Defense Against Adversarial Attacks on LLMs. - Hannah Brown; Leon Lin; Kenji Kawaguchi; Michael Shieh (CoRR, 2024)

Directions of Technical Innovation for Regulatable AI Systems. - Xudong Shen; Hannah Brown; Jiashu Tao; Martin Strobel 001; Yao Tong; Akshay Narayan 002; Harold Soh; Finale Doshi-Velez (Commun. ACM, 2024)

Single Character Perturbations Break LLM Alignment. - Leon Lin; Hannah Brown; Kenji Kawaguchi; Michael Shieh (AAAI, 2025)