Daniel Simmons-Marengo: Differential Privacy in practice
from Masters of Privacy Hosted by Sergio Maldonado
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) This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.mastersofprivacy.com/subscribe
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