Enabling Privacy-Preserving Sharing of Genomic Data for GWASs in Decentralized Networks. - Yanjun Zhang; Xin Zhao 013; Xue Li 001; Mingyang Zhong; Caitlin Curtis; Chen Chen 056 (WSDM, 2019)

PrivColl: Practical Privacy-Preserving Collaborative Machine Learning. - Yanjun Zhang; Guangdong Bai; Xue Li 001; Caitlin Curtis; Chen Chen 056; Ryan K. L. Ko (ESORICS (1), 2020)

Privacy-Preserving Gradient Descent for Distributed Genome-Wide Analysis. - Yanjun Zhang; Guangdong Bai; Xue Li 001; Caitlin Curtis; Chen Chen 056; Ryan K. L. Ko (ESORICS (2), 2021)

An AI-Enabled Community Safety Service: Stakeholder Benefits and Vulnerabilities. - Javad K. Pool; Natalie Smith; Hunter Dodds; Steven Lockey; Caitlin Curtis; Tapani Rinta-Kahila; Nicole M. Gillespie (ACIS, 2023)

AI-deploying organizations are key to addressing 'perfect storm' of AI risks. - Caitlin Curtis; Nicole M. Gillespie; Steven Lockey (AI Ethics, 2023)

Where is the human in human-centered AI? Insights from developer priorities and user experiences. - William J. Bingley; Caitlin Curtis; Steven Lockey; Alina Bialkowski; Nicole M. Gillespie; S. Alexander Haslam; Ryan K. L. Ko; Niklas Steffens; Janet Wiles; Peter Worthy (Comput. Hum. Behav., 2023)