Nathalie Baracaldo leads the AI Security and Privacy Solutions team and is a Research Staff Member at IBM's Almaden Research Center in San Jose, CA. Nathalie is passionate about delivering machine learning solutions that are highly accurate, withstand adversarial attacks and protect data privacy. Her team focuses on two main areas: federated learning, where models are trained without directly accessing training data, and adversarial machine learning, where defenses are designed to withstand potential attacks to the machine learning pipeline. Nathalie is the primary investigator for the DARPA program 'Guaranteeing AI Robustness Against Deception' (GARD). Nathalie co-edited the book 'Federated Learning: A Comprehensive Overview of Methods and Applications' Springer, 2022. In 2020, Nathalie received the IBM Master Inventor distinction for her contributions to the IBM intellectual property and innovation. Nathalie also received the 2021 Corporate Technical Recognition, one of the highest recognitions provided to IBMers for breakthrough technical achievements to the Trusted AI Initiative, which has led to notable market and industry success for IBM. Nathalie received her Ph.D. degree from the University of Pittsburgh, USA in 2016.