How can remote workers share information with their employers without revealing private details? How can a student witnessing school bullying report it anonymously? How can public forms collect less personal information from millions of citizens each year?

PETSCRAFT focuses primarily on modeling privacy protection concepts and on the design, optimization, security enforcement, testing and deployment of explicable and efficient PETs based on these principles. These concepts can stem from both legal requirements (e.g. GDPR concepts) or guidelines based on societal and ethical issues (e.g. helping harassment whistle-blowers).

Initial goal: create PETs that would be adopted by the general public, the industry or institutions.
Ultimate goal: propose, and validate both a method and “cyber-fablab” to craft PETs.

Research directions

• Axis 1: Explicable Privacy Models for PETs
• Axis 2: Decision Support for PETS
• Axis 3: Secure Protocols for PETS
• Axis 4: Trustworthy Data Management for PETs