DatashareNetwork

DatashareNetwork

Decentralized privacy-preserving search engine for investigative journalists

Investigative journalists collect large numbers of digital documents during their investigations. These documents can greatly benefit other journalists’ work. However, many of these documents contain sensitive information. Hence, possessing such documents can endanger reporters, their stories, and their sources. Consequently, many documents are used only for single, local, investigations. DatashareNetwork is a decentralized and privacy-preserving search system that enables journalists world-wide to find documents via a dedicated network of peers.

Decentralized
Key facts
Maturity
Support
C4DT
Inactive
Lab
Active
  • Technical
  • Research papers

Security and Privacy Engineering Laboratory

Security and Privacy Engineering Laboratory
Carmela Troncoso

Prof. Carmela Troncoso

The Security and Privacy Engineering Laboratory develops tools and methodologies to help engineers building systems that respect societal values, such as security, privacy or non discrimination. Currently, they are working on
  • Machine Learning impact on society
  • Evaluating privacy in complex systems
  • Engineering privacy-preserving systems

This page was last edited on 2023-03-22.