Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture by the instructor focuses on privacy engineering, specifically on the concept of differential privacy. The lecture delves into the importance of protecting personal information, the evolution of privacy technologies, and the challenges in implementing differential privacy. The instructor explains the mathematical foundations of differential privacy, the role of noise in preserving privacy, and the trade-off between privacy and accuracy. Through examples and explanations, the lecture highlights the significance of differential privacy in safeguarding sensitive data while allowing for meaningful analysis.
This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.
Watch on Mediaspace