Anonymisaton, Pseudonymisation, and De-identification Primer

Data anonymisation, pseudonymisation, and de-identification all have a long-standing history in data governance, statistics, and privacy/data protection. Sometimes they are treated individually, sometimes together. In recent years they gained further interest as a form of Privacy Enhancing Technology, and more recently as a key component in ‘privacy-oriented’ Artificial Intelligence / Machine Learning (AI / ML). These techniques are theoretically powerful privacy mechanisms but still carry various types of re-identification risks and privacy failures when applied without correct understanding.

This course provides a thorough overview and comparison of all three techniques, how they operate and what considerations need to be taken into account when applying them in different scenarios; and highlights conceptual and practical nuances within the privacy / data protection domain, demonstrates the techniques and limitations, and provides a solid foundation for privacy-minded AI / ML (which also serves as a stepping stone to various discussions about AI/ML/model explainability).

This course complements our Anonymising Data using k-Anonymity and Pseudonymisation Primer courses.

Course Code:	PE104
Title:	Anonymisaton, Pseudonymisation, and De-identification Primer
Duration:	½ day (approximately 3.5 contact hours)
Mode of Training:	In-person
Available Date(s):	Please see below.
Venue:	Drew & Napier LLC, 10 Collyer Quay, 10th Floor, Ocean Financial Centre, Singapore 049315
Course Fee:	S$500.00 (excluding GST)