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Found 3 papers, 2 papers with code
The Fundamental Limits of Least-Privilege Learning
The promise of least-privilege learning -- to find feature representations that are useful for a learning task but prevent inference of any sensitive information unrelated to this task -- is highly appealing.
Synthetic Data -- Anonymisation Groundhog Day
In other words, we empirically show that synthetic data does not provide a better tradeoff between privacy and utility than traditional anonymisation techniques.
Decentralized Privacy-Preserving Proximity Tracing
This document describes and analyzes a system for secure and privacy-preserving proximity tracing at large scale.
Cryptography and Security Computers and Society
