What is Differential Privacy?

The video discusses a typical 911 call scenario, highlighting the importance of Personally Identifiable Information (PII) and the challenges of using such data while maintaining privacy. It introduces the concept of differential privacy, which allows data to be shared and analyzed without compromising individual identities. By adding noise to data, differential privacy enables trend analysis and problem identification, such as detecting community health issues. This approach helps make informed decisions while protecting privacy.

What type of information is typically collected during a 911 call?

• Personal and health information

• Financial information

• Educational background

• Travel history

What is a potential drawback of removing PII from data?

• It makes the data harder to access

• It limits the usefulness of the data

• It increases the risk of data breaches

• It makes the data more expensive to store

How can differential privacy help in data analysis?

• By completely anonymizing all data

• By adding noise to data to protect privacy while retaining usefulness

• By encrypting data to prevent access

• By deleting all personal information

What is an example of a community issue that differential privacy can help address?

• Identifying reasons for health problems

• Improving public transportation

• Building more shopping centers

• Increasing the number of schools

What analogy is used to describe the process of adding noise in differential privacy?

• Adjusting the volume of a speaker

• Tuning a radio to a different station

• Changing the color of a painting

• Switching channels on a TV