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Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Lecture
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 covers the risks associated with abusive data collection, including the definition of personal data, sensitive data, and potential consequences. It also explores how seemingly innocuous data can become sensitive when combined from various sources. The instructor discusses three key protections for personal data: Differential Privacy, Hashing, and Encryption. Additionally, the lecture delves into the importance of careful planning before collecting user data, emphasizing the need for transparency and security measures. Various techniques for data protection, such as encryption and de-identification, are explained in detail, highlighting the challenges and ongoing research in this field.