Hannah Brown - RankMe

15 papers A* 1Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	FastNet: Improving the physical consistency of machine-learning weather prediction models through loss function design. CoRR Tom Dunstan, Oliver Strickson, Thusal Bennett, Jack Bowyer, Matthew Burnand, James Chappell, Alejandro Coca-Castro, Kirstine Ida Dale, Eric G. Daub, Noushin Eftekhari, Manvendra Janmaijaya, Jon Lillis, David Salvador Jasin, Nathan Simpson, Ryan Sze-Yin Chan, Mohamad Elmasri, Lydia Allegranza France, Sam Madge, Levan Bokeria, Hannah Brown, Tom Dodds, Anna-Louise Ellis, David Llewellyn-Jones, Theo McCaie, Sophia Moreton, Tom Potter, James Robinson, Adam A. Scaife, Iain Stenson, David Walters, Karina Bett-Williams, Louisa van Zeeland, Peter Yatsyshin, J. Scott Hosking
2025	A*	`conf`	Single Character Perturbations Break LLM Alignment. AAAI Leon Lin, Hannah Brown, Kenji Kawaguchi, Michael Shieh
2024	J	`jnl`	Can AI Be as Creative as Humans? CoRR Haonan Wang, James Zou, Michael Mozer, Anirudh Goyal, Alex Lamb, Linjun Zhang, Weijie J. Su, Zhun Deng, Michael Qizhe Xie, Hannah Brown, Kenji Kawaguchi
2024	J	`jnl`	Directions of Technical Innovation for Regulatable AI Systems. Commun. ACM Xudong Shen, Hannah Brown, Jiashu Tao, Martin Strobel, Yao Tong, Akshay Narayan, Harold Soh, Finale Doshi-Velez
2024	—	`conf`	Prompt Optimization via Adversarial In-Context Learning. ACL (1) Do Xuan Long, Yiran Zhao, Hannah Brown, Yuxi Xie, James Xu Zhao, Nancy F. Chen, Kenji Kawaguchi, Michael Shieh, Junxian He
2024	J	`jnl`	Self-Evaluation as a Defense Against Adversarial Attacks on LLMs. CoRR Hannah Brown, Leon Lin, Kenji Kawaguchi, Michael Shieh
2024	J	`jnl`	Single Character Perturbations Break LLM Alignment. CoRR Leon Lin, Hannah Brown, Kenji Kawaguchi, Michael Shieh
2023	J	`jnl`	AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments. CoRR Yang Zhang, Yawei Li, Hannah Brown, Mina Rezaei, Bernd Bischl, Philip H. S. Torr, Ashkan Khakzar, Kenji Kawaguchi
2023	J	`jnl`	Prompt Optimization via Adversarial In-Context Learning. CoRR Xuan Long Do, Yiran Zhao, Hannah Brown, Yuxi Xie, James Xu Zhao, Nancy F. Chen, Kenji Kawaguchi, Michael Qizhe Xie, Junxian He
2023	J	`jnl`	Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities. CoRR Xudong Shen, Hannah Brown, Jiashu Tao, Martin Strobel, Yao Tong, Akshay Narayan, Harold Soh, Finale Doshi-Velez
2022	—	`conf`	What Does it Mean for a Language Model to Preserve Privacy? FAccT Hannah Brown, Katherine Lee, Fatemehsadat Mireshghallah, Reza Shokri, Florian Tramèr
2022	J	`jnl`	What Does it Mean for a Language Model to Preserve Privacy? CoRR Hannah Brown, Katherine Lee, Fatemehsadat Mireshghallah, Reza Shokri, Florian Tramèr
2021	—	`conf`	Design and Preliminary Evaluation of the AID Vest: An Automatic Inflatable Wearable Device for Anxiety Reduction. WHC Hannah Brown, Emily Shannon, Naomi T. Fitter
2021	—	`conf`	Unified SAT-Solving for Hard Problems of Phylogenetic Network Construction. ICCABS Dan Gusfield, Hannah Brown
2020	—	`conf`	Comparing Integer Linear Programming to SAT-Solving for Hard Problems in Computational and Systems Biology. AlCoB Hannah Brown, Lei Zuo, Dan Gusfield