Transparency Systems, such as Certificate Transparency or Key Transparency, are designed to provide accountability and verifiability of data. However, they […]
Category: News
Authenticity & Verifiability in Federated Learning: Overview & Methods
With the help of machine learning (ML) – or often referred to as AI – and a large amount of […]
Design Considerations of Ex-post TETs for Credential Transparency
Ex-post Transparency-Enhancing-Technologies aim to help data subjects exercise their right to transparency by providing them with visibility on the sensitive […]
MPC-based Secure Aggregation in Federated Learning: Overview, Protocols, & Google’s Gboard
As digitalization progresses, it is becoming increasingly attractive to learn from as much data as possible in order to, e.g., […]
Evaluation of Secure-Multi-Party-Computation-Frameworks for the Web Browser
Secure Multi-Party Computation (MPC) is now a practical privacy-preserving cryptographic building block. With the help of MPC, numerous data analyses […]
Evaluation of MPC’s State of the Art
Data holds the enormous potential to learn a lot from it and thus improve practically all areas of life. Especially […]
Possibilities for implementing an Austrian e-government service using open data
The use of open government data is becoming increasingly important to drive the development of artificial intelligence (AI) applications in […]
Challenges of Encyption: Recovery and Computation
Encryption represents a fundamental tool to protect the confidentiality of sensitive data, such as identity attributes, medical data, and digital […]