Secure and Private AI Introducing Differential PrivacyIn this lesson, you'll learn about the basics of differential privacy, a method for measuring how operations impact the privacy of data.Evaluating the Privacy of a FunctionIn this lesson, you'll implement differential privacy in Python.Introducing Local and Global Differential PrivacyLearn how to apply differential privacy to arbitrary algorithms by adding noise to the outputs.Differential Privacy for Deep LearningLearn how we can apply differential privacy to deep neural networks.Federated LearningLearn about federated learning, a method for preserving data privacy by training models where the data lives.Securing Federated LearningSecure models trained using federated learning with multi-party computation.Encrypted Deep LearningLearn how to perform encrypted computation. Build an encrypted database, and generate an encrypted prediction with an encrypted neural network on an encrypted dataset.CompanyAbout Us Why Udacity? Blog In the News Jobs at Udacity Become a Mentor Partner with Udacity ResourcesCatalog Career Outcomes Help and FAQ Scholarships Resource Center Udacity SchoolsSchool of Artificial Intelligence School of Autonomous Systems School of Business School of Cloud Computing School of Cybersecurity School of Data Science School of Executive Leadership School of Product Management School of Programming and Development Career Resources Featured ProgramsBusiness Analytics SQL AWS Cloud Architect Data Analyst Intro to Programming Digital Marketing Self Driving Car Engineer Only at UdacityArtificial Intelligence Deep Learning Digital Marketing Flying Car and Autonomous Flight Engineer Intro to Self-Driving Cars Machine Learning Engineer Robotics Software Engineer