The Conference for Machine Learning Innovation

The importance and pitfalls of pseudonymization

Session
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Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
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Register until August 11:
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✓ ML Intro Day for free
✓ Team discount
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Join the ML Revolution!
Register until August 11:
✓ Save up to $593
✓ ML Intro Day for free
✓ Team discount
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Join the ML Revolution!
Register until September 23:
✓ PS Classic or C64 Mini for free
✓ Save up to €310
10 % Team Discount
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Join the ML Revolution!
Register until September 23:
✓ PS Classic or C64 Mini for free
✓ Save up to €310
10 % Team Discount
Register Now
Infos
Wednesday, June 29 2022
14:45 - 15:30

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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