The Conference for Machine Learning Innovation

The importance and pitfalls of pseudonymization

Session
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Join the ML Revolution!
Register until September 16:
✓Save up to $290
✓10% team discount
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Join the ML Revolution!
Register until November 7th:
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✓10% Team Discount
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Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Join the ML Revolution!
Register until March 5:
✓ML Intro Day for free
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✓10 % Team Discount
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Join the ML Revolution!
Register until March 5:
✓ML Intro Day for free
✓Save up to 500 €
✓10 % Team Discount
Register Now
Infos
Wednesday, November 23 2022
15:15 - 16:00
Room:
Stage 2 - SNG
Infos
Wednesday, November 30 2022
10:15 - 11:00
Room:
Salon 3
Infos
Wednesday, June 29 2022
14:45 - 15:30
Room:
Kopernikus 3

A lot of data we work with contains sensitive information. Thus we need to anonymize or pseudonymize the data to protect the identity and privacy of individuals. In this talk I’ll explain the difference between anonymization and pseudonymization, give us all a short (I promise) reminder of how the GDPR is involved, why data protection is simply heckin’ difficult and why there is no one-size-fits-all approach. The talk will be rounded up with a few examples of how Skyhaus has handled and pseudonymized/anonymized sensitive data.

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