9 citations · 18 across the 4 of their papers we have counts for
5 papers
Should I use Synthetic Data for That? An Analysis of the Suitability of Synthetic Data for Data Sharing and Augmentation
Bogdan Kulynych, Theresa Stadler, Jean Louis Raisaro +1
Recent advances in generative modelling have led many to see synthetic data as the go-to solution for a range of problems around data access, scarcity, and under-representation. In…
The Fundamental Limits of Least-Privilege Learning
Theresa Stadler, Bogdan Kulynych, Michael C. Gastpar +2
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…
Preliminary Analysis of Potential Harms in the Luca Tracing System
Theresa Stadler, Wouter Lueks, Katharina Kohls +1
In this document, we analyse the potential harms a large-scale deployment of the Luca system might cause to individuals, venues, and communities. The Luca system is a digital prese…
Synthetic Data -- Anonymisation Groundhog Day
Theresa Stadler, Bristena Oprisanu, Carmela Troncoso
Synthetic data has been advertised as a silver-bullet solution to privacy-preserving data publishing that addresses the shortcomings of traditional anonymisation techniques. The pr…
Decentralized Privacy-Preserving Proximity Tracing
Carmela Troncoso, Mathias Payer, Jean-Pierre Hubaux +31
This document describes and analyzes a system for secure and privacy-preserving proximity tracing at large scale. This system, referred to as DP3T, provides a technological foundat…