Administrative information

Title	Privacy Preserving Machine Learning
Duration	60 min
Module	C
Lesson Type	Interactive
Focus	Technical - Future AI
Topic	Open Problems and Challenges

Keywords

Encryption, PPML, Privacy-Preserving, Risk,

Learning Goals

• Understand the concept of Privacy Preserving Fundamentals
• Discuss application of PPML in practical Scenarios

Expected Preparation

Lesson materials

• The PPML playlist created by CeADAR provides a high-level outline of how privacy-preserving techniques can be applied to data.
• PPML challenge problem overview
• PPML challenge problem instructions

The materials of this learning event are available under CC BY-NC-SA 4.0.

Instructions for Teachers

• Encourage students to make notes and initiate the discussion on the need for privacy-preserving ML techniques Background information here can be used. $ Collate and share all points raised and discussed by students. $ Provide an overview of the discussion.

  Duration (min)	Description	Concepts
  5	Introduction to Privacy Preserving Fundamentals	Differential Privacy
  10	Discussion on the need for the preservation of privacy	PPML
  25	Netflix/IMDB linkage attack can be discussed here	a case stuy
  10	Challenges of PPML techniques
  5	Conclusion

More information

Click here for an overview of all lesson plans of the master human centred AI

Please visit the home page of the consortium HCAIM

Acknowledgements

	The Human-Centered AI Masters programme was co-financed by the Connecting Europe Facility of the European Union Under Grant №CEF-TC-2020-1 Digital Skills 2020-EU-IA-0068. The materials of this learning event are available under CC BY-NC-SA 4.0
The HCAIM consortium consists of three excellence centres, three SMEs and four Universities