Главная
Study mode:
on
1
Intro
2
What is Data Helix
3
Redaction, Anonymisation and Synthesis
4
Redaction - Re-identification risk
5
Differential Privacy
6
A typical synthetic data flow
7
The generic Use Cases
8
What approach to consider for what Use Case
9
Data Generation approaches
10
A few Specific Examples
11
What's next for DataHub/DataHelix
12
If any of this sounds interesting
Description:
Explore the intricacies of generating secure and authentic synthetic data in this 28-minute conference talk presented by Andrew Carr from Scott Logic and Paul Groves from Citi. Delve into the concept of Data Helix and understand the differences between redaction, anonymisation, and synthesis techniques. Learn about re-identification risks associated with redaction and the importance of differential privacy. Examine a typical synthetic data flow and discover various generic use cases, along with guidance on which approach to consider for specific scenarios. Gain insights into different data generation approaches and explore specific examples. Get a glimpse of future developments for DataHub/DataHelix and find out how to engage further if the topic piques your interest.

The Art and Tech of Generating Secure and Authentic Synthetic Data

Linux Foundation
Add to list
0:00 / 0:00