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Module 1: Empirical Privacy for Data Analysis and ML CS848 Fall 20242Module 1: Empirical Privacy 1. Anonymizing Data: (30 mins) A case study on anonymizing Netflix data 2. Measures of Anonymity/Privacy:
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Data privacy refers to the proper handling, processing, storage, and usage of personal information, ensuring individuals' rights to control their own data.
Businesses and organizations that handle personal data of individuals, especially if they operate in regions with specific data privacy regulations, are generally required to comply and file necessary documentation.
To fill out the data privacy documentation, individuals or organizations must provide accurate information about data collection practices, purposes of data usage, security measures in place, and compliance with relevant privacy laws.
The purpose of data privacy is to protect individuals' personal information from unauthorized access or misuse, ensuring transparency in how personal data is handled.
Reports should typically include details about data collection methods, types of personal data processed, data retention periods, and security measures taken to protect that data.
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