Privacy by Design: Data Sharing

Introduction

• Welcome
• Who this course is for
• Data classification as part of data governance

1. Data Sharing: Risks and Possibilities

• How data sharing works: The ads use case
• How data sharing can go wrong
• Data sharing risks: A case study
• When data sharing should raise red flags
• Valid reasons for data sharing

2. Solving for Data Sharing

• Techniques to minimize privacy risk
• Anonymization concepts
• Anonymization techniques
• Encryption

3. k-Anonymity and Data Sharing

• What is k-anonymity?
• k-Anonymity: A use case
• k-Anonymity: With very coarse data
• k-Anonymity: With very granular data
• k-Anonymity: Industry best practice

4. l-Diversity

• How l-diversity helps privacy
• k-Anonymity vs. l-diversity

5. The Challenge of Privacy: Your Digital Fingerprint

• Your physical fingerprint
• Your digital fingerprint
• The power of joining outside data

Conclusion

• Next steps