Why differential privacy is awesome

0 stars0 forks0 contributors

Overview

Explain the intuition behind differential privacy, a theoretical framework which allow sharing of aggregated data without compromising confidentiality. See follow-up articles with more details and practical aspects

Related Projects

Community-curated · Updated weekly · 100% open source

Found a gem we're missing?

Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.

Submit a project Star on GitHub

Last commit

Created

Links & Resources

Website

Included in

IAM2.2k

Presidio

An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.

Stars10,113

Forks1,213

Last commit2 days ago

Four cents to deanonymize: Companies reverse hashed email addresses

“Hashed email addresses can be easily reversed and linked to an individual”

Stars0

Forks0

Last commit

The False Allure of Hashing for Anonymization

Hashing is not sufficient for anonymization no. But still it is good enough for pseudonymization (which is allowed by the GDPR)

Stars0

Forks0

Last commit