Input vs Output Privacy
Privacy in data systems has traditionally focused on protecting sensitive information as it enters a …
Birds of a Feather Leak Together: The Set Bias Privacy Problem
Secure multi-party computation (SMPC) enables organisations to collaborate on sensitive data …
Exploring Homomorphic Encryption with Python
Homomorphic encryption is a powerful cryptographic technique that allows computations to be …
Distributed Aggregation Protocol (DAP) Primer
In last post we covered, Privacy Preserving Measurement (PPM) and discussed how Distributed …
Privacy Preserving Measurement
In 1982, Andrew Yao proposed the Millionaire Problem which discusses how two millionaires can learn …
Differential Privacy: A Primer
Differential Privacy (DP) is a mathematical framework that protects individual privacy in data …