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 UsWhy Udacity?BlogIn the NewsJobs at UdacityBecome a MentorPartner with UdacityResourcesCatalogCareer OutcomesHelp and FAQScholarshipsResource CenterFeatured ProgramsBusiness AnalyticsSQLAWS Cloud ArchitectData AnalystIntro to ProgrammingDigital MarketingSelf Driving Car EngineerOnly at UdacityArtificial IntelligenceDeep LearningDigital MarketingFlying Car and Autonomous Flight EngineerIntro to Self-Driving CarsMachine Learning EngineerRobotics Software EngineerAI Master’sMaster of Business AdministrationMaster of Science in AIUdacity SchoolsSchool of Animation and Game DevelopmentSchool of Artificial IntelligenceSchool of Autonomous SystemsSchool of BusinessCareer ResourcesSchool of Cloud ComputingSchool of CybersecuritySchool of Data ScienceSchool of DevOpsSchool of Executive LeadershipSchool of Product ManagementSchool of Programming and Development