Cloud and AggregationExplores cloud computing, data aggregation, security threats, privacy issues, encryption, de-identification, and data privacy in the digital era.
Privacy: definitionExplores the definitions, value, and challenges of privacy, including personal data and privacy properties like pseudonymity and k-anonymity.
Introduction to Jupyter ExercisesIntroduces Jupyter exercises on Differential Privacy, covering random generators, understanding data intrusion impact, and practical applications.
Data Privacy: K-anonymityExplores k-anonymity in data privacy, discussing prevention techniques and vulnerabilities to attacks.
