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Privacy Engineering: Sharing Model-Based Practices.

This group facilitates the exchange of methods and tools for privacy engineering using models. Models serve as a universal language to describe and address privacy concerns across different viewpoints, supporting system development from conceptual design to lifecycle phases. Additionally, models aid in documenting and selecting solutions for specific contexts. IG project page

Upcoming Event

Members & non-members are invited to attend this open meeting of the Eclipse Foundation Models4Privacy Interest Group.  

We are holding this meeting to discuss and raise awareness of the

« Impact of AI tools on the development of engineering models for privacy by design. » 

More details on the agenda will follow shortly via this distribution list.  You may also stay up-to-date on this Interest Group at Eclipse Models for Privacy™

We look forward to seeing you on June 30th !

Speakers:

Steve Hickman: Steve will give a brief overview of his thoughts on some of the AI tools and Privacy by Design.  He says: « If tools like Mythos properly understand privacy, it seems that Privacy by Design becomes an issue of writing the correct prompt for the AI model being used. If we can write those prompts and supply them to the AI tool vendors, it may be possible that all code generation will include them automatically as ‘privacy as the default’. Steve was the creator of true Privacy First Design tooling. Epistimis Modeling Tool (EMT) that automates the Privacy Impact Assessment process (Reference in ISO/IEC TS 27564:2025(en) Privacy protection — Guidance on the use of models for privacy engineering.) Refer to his skill profile in GitHub and continue.

Dimitri Van Landuyt: Dimitri is faculty at KU Leuven University. He is an active contributor to the LINDDUN privacy threat modeling framework (Reference in ISO/IEC TS 27564:2025(en) Privacy protection — Guidance on the use of models for privacy engineering), and conducts empirical research on threat modeling approaches and tools. We all acknowledge the proliferation of AI conversation platforms has introduced unprecedented privacy risks through user-shared conversations. Dimitri will share an overview of the main findings and takeaways of a large-scale study that he led, involving over 100K real-world chatbot conversations. See Academic biography

Laurens Sion: Laurens is a Research Expert on Privacy Engineering at the DistriNet research group at the Department of Computer Science at KU Leuven.
His research focuses on security and privacy threat modeling and automating several facets of threat modeling (creating models, elicitation, risk analysis, etc.). On June 30th, Lauren will present a new foundational GenAI privacy threat modeling framework built on LINDDUN that is deliberately tailored to assess privacy threats and risks specific to the construction of GenAI-based solutions. It includes support for sophisticated GenAI privacy threats and provides over 100 specific example threats. Learn more on Laurens Sions

Watch our latest webinars, follow us

Date:  Tuesday June 30, 2026

Time:  12:00 UTC

Type:  Virtual

Join Zoom Meeting: https://eclipse.zoom.us/j/83445974309?pwd=028IqnDibbSCIkfHcyw6RzdKANCiC3.1

Meeting ID: 834 4597 4309

Passcode: 518714

WebinarDateLocationLink

Digital Transparency by Default, a universal digital privacy transparency pattern and code of practice
13th November 2025OnlineSlides
Watch talk

One hour webinar: Standardisation & Interoperability for PETs
Expert: TNO representative T.N. van Gend (Thijmen)
9th October 2025OnlineWatch Webinar

One hour webinar: Demonstration of the DPMF for Data Protection Analysis
Experts: Lauren Sion, Dimitri Van Landuyt
9th January 2025OnlineWatch Webinar

One hour webinar: deep dive on privacy models
Moderator: Ann Cavoukian
Experts: Samuel Martin, Steve Hickman
27th June 2024OnlineWatch talk

One hour talk: W3C work on a Data Protection Vocabulary (DPV) and DPV use case.
Experts: Harshvardhan Pandit, Georg Philip Krog, co-founder of Signatu.
6th June 2024OnlineMichelle Chibba’s slides
and
Harsh’s slides
7th February 2024OnlineWebinar
and
Slides

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