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Intro
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Classroom Contents
Auditing Data Privacy for Machine Learning
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- 1 Intro
- 2 Main Takeaways . There is a difference between confidentiality and privacy
- 3 Privacy Regulations
- 4 Indirect Privacy Risks in Machine Learning
- 5 Machine Learning as a Service Platforms
- 6 Large Language Models
- 7 Federated Learning Algorithms
- 8 Membership Inference Attack
- 9 Al Regulations and Guidelines
- 10 Example: Language Generative Model
- 11 Examples of Vulnerable Training Data
- 12 Example: Image Classification Tasks
- 13 Auditing Data Privacy for Machine Learning
