How can we apply differential privacy to real-world scenarios? How do you go about algorithmic design? Is there a conflict between data minimization and differential privacy? Can you solve for personal data finding its way into machine learning models? Where can a young professional find resources to dive deeper?

References:

* Daniel Simmons-Marengo on LinkedIn

* OpenDP

* Some takeaways from PEPR’24 (USENIX Conference on Privacy Engineering Practice and Respect 2024)

* Damien Desfontaines: Differential Privacy in Data Clean Rooms (Masters of Privacy, January 2024)

* NIST Guidelines for Evaluating Differential Privacy Guarantees (March 2025)

* Peter Craddock: EDPS v SRB, the relative nature of personal data, processors, transparency, impact on MarTech and AdTech (Masters of Privacy, September 2025)

* Katharine Jarmul: Demystifying Privacy Enhancing Technologies (Masters of Privacy, October 2023)

* Sunny Kang: Machine Learning meets Privacy Enhancing Technologies (Masters of Privacy, February 2023)

* How GDPR changes the rules for research (Gabe Maldoff, IAPP blog, 2016)

Peter Craddock joins us once again to discuss the recent EDPS v Single Resolution Board decision by the Court of Justice of the EU. Although it builds on the previous Scania and Breyer cases to settle on the “relative” nature of personal data, its practical implications on everything we do in the Marketing Technology and digital advertising spaces cannot be overstated.

Peter is a lawyer as well as a software developer. He is based in Brussels, heads the EU Data/Cyber/Tech Law team at Keller & Heckman, and helps international companies with their global data strategy and with EU data litigation.

References:

* Peter Craddock on LinkedIn

* When is data no longer personal? And what are the implications? (Peter Craddock)

* EDPS v. SRB (full text of the decision)

* Peter Craddock: ePrivacy exceptions, advertising, analytics, the limits of consent and server-side processing (Masters of Privacy, 2024)

Meaghan Henderson started off as a litigation attorney in Los Angeles, subsequently joining Snap Inc.’s Trust and Safety operations. She is now Global Head of Privacy at iRobot (makers of the ubiquitous Roomba, a robotic vacuum cleaner).

We have gone over the many tasks that Meaghan has managed (and regularly manages) to accomplish as a one-person team: rolling out a full privacy program, raising internal awareness, coordinating with security teams, complying across multiple jurisdictions, and being part of the AI governance committee.

References:

* Meaghan Henderson on LinkedIn

* Generally Accepted Privacy Principles (GAPP)

* ISO/IEC 27701 (program maturity over time)

* Fair Information Practice Principles (FIPPs)

* NIST Privacy Framework

* OECD Privacy guidelines

* Amazon and iRobot agree to terminate pending acquisition