PETs resource repository
This repository hosts a curated set of privacy-enhancing technology resources from the IAPP, as well as trusted third-party sources to support education, deployment and continued maturity of PETs from research to practice.
Contributors:
Dylan Gilbert
Senior Fellow for Privacy Engineering
IAPP
Brandon LaLonde
CIPM
Research & Insights Analyst
IAPP
Privacy-enhancing technologies are unlocking insights and driving value for organizations in ways that were previously impossible. This PET repository is the home of IAPP research content and resources to support the continued development and adoption of these techniques. We recognize that the scope of available resources is vast and there are other organizations providing useful information on these topics. In addition to IAPP content, this collection includes third-party resources to supplement ongoing IAPP research and help make this technical field more accessible to professionals working in privacy, AI governance and digital responsibility.
Privacy-enhancing technologies resources
News and Analysis
Cutting through the noise: Explaining differential privacy and why it matters
The EDPB's draft anonymization guidelines: What they mean for your data strategy
The Modern Sword of Damocles: Risks and Rewards of AR glasses
The case for differential privacy in the age of agentic AI
PETs: Beyond privacy-enhancing
Accelerating differential privacy deployment in the federal government
Federated learning and edge computing for safe AI innovation
The latest in homomorphic encryption: A game-changer shaping up
A new standard for anonymization
Cheering emerging PETs: Global privacy tech support on the rise
Video and Podcasts
A privacy-enhancing technologies primer
Video
On privacy and machine unlearning: A discussion with Jevan Hutson
Podcast
Development and evolution of privacy-enhancing technologies
Video
Emerging PETs: Current Regulatory and Policy Approaches
OECD
Exploring Practical Considerations and Applications for PETs
ISACA
Sharing Trustworthy AI Models with PETs
OECD
Crossing borders securely: synthetic data and federated networks for privacy-preserving access to real-world data and emerging use cases
npj Digital Medicine
Science & Tech Spotlight: PETs
U.S. GAO
Technology Explainer: What Are PETs?
ITIF
Comparison of PETs
Future of Privacy Forum
PETs Guidance
U.K. ICO
Guide on Synthetic Data Generation
Singapore PDPC
PETs Adoption Guide
U.K. DSIT
Guide on Federated Learning
Singapore PDPC
PETs Adoption Guide
Singapore IMDA/PDPC
Digital/PDPC Guide to Basic Anonymisation
Singapore SG
Repository of PETs Use Cases
U.K. DSIT
Case Study Repository on PETs for Official Statistics
United Nations
Overcoming Data Barriers via Trustworthy Privacy-Enhancing Technologies
OECD/GPAI
Preventing Financial Fraud Across Different Jurisdictions with Fully Homomorphic Encryption (Mastercard)
Future of Privacy Forum
Federated Learning & Federated Analysis: Use Cases in AI Guide
CIPL
PETs Open-Source Repository
OpenMined
Presidio
Data Privacy Stack
Microsoft SEAL
Microsoft
U.S. U.K. Prize Challenge Open Source Solutions
NIST
OpenFHE
OpenFHE
PETed Discussion Series
Institute of Operational Privacy Design
A friendly, non-technical introduction to differential privacy
Damien Desfontaines
What to expect
This repository hosts a curated set of PET resources from trusted third-party sources to support education, deployment and continued maturity from research to practice. These resources include both policy-focused and technical material that cover a variety of techniques. This repository is not intended to be exhaustive, and inclusion of a resource does not constitute an endorsement. We welcome suggestions for additional resources at any time.
This content is eligible for Continuing Professional Education credits. Please self-submit according to CPE policy guidelines.
Submit for CPEsContributors:
Dylan Gilbert
Senior Fellow for Privacy Engineering
IAPP
Brandon LaLonde
CIPM
Research & Insights Analyst
IAPP
