FPF has long supported the use of technologies as well as research to help better understand what data protection and privacy opportunities and challenges they present. When used appropriately, privacy-enhancing technologies can mitigate individuals’ privacy risks while promoting fairness and enabling socially beneficial data use. Broad adoption of these technologies is only possible if they are effective and usable, which requires broad societal buy-in as well as additional research and support.
Regulatory Activity
ES, Agencia Española de Protección de Datos (AEPD):
Guidelines for Data Protection by Default (2020)
A Guide to Privacy by Design (2019)
Blog: Synthetic data and data protection (2023)
Blog: Data Spaces, sovereignty and privacy by design (2023)
Blog: Privacy by Design: Secure Multi-Part Computation: Additive Sharing of Secrets (2022)
Blog: Privacy Engineering (2019)
ES, Catalan Data Protection Authority (APDCAT):
Privacy by design and privacy by default, A guide for developers (2023)
CA, Office of the Privacy Commissioner of Canada (OPC):
Report: Privacy Enhancing Technologies – A Review of Tools and Techniques (2017)
Blog: Privacy Tech-Know blog: Computing while blindfolded – Lifting the veil on homomorphic encryption (2023)
CA, Quebec’s Anonymization Regulation (2024)
UK, Information Commissioner’s Office (ICO):
Guidance: Privacy-enhancing Technologies (2023)
Cost-Benefit Awareness Tool and Checklist (2024)
UK’s ICO Repository of PETs Use Cases (2024)
Global Privacy Assembly:
Resolution on Generative AI Systems (2024)
Declaration on Ethics and Data Protection in Artificial Intelligence (2018)
External Reports
ENISA: Privacy Enhancing Technologies: Evolution and State of the Art (2017)
UK, Information Commissioner’s Office: Privacy-enhancing Technologies (2023)
OECD: Emerging privacy-enhancing technologies: Current regulatory and policy approaches (2023)
CIPL: Privacy-Enhancing and PrivacyPreserving Technologies: Understanding the Role of PETs and PPTs in the Digital Age (2023)
The Royal Society: From privacy to partnership The role of privacy enhancing technologies in data governance and collaborative analysis (2023)
DSCI: Privacy-Enhancing Technologies: Global and Cross-Sectoral Regulatory Insights (2024)
UN: The PET Guide: Privacy-enhancing technologies for official statistics (2023)
BdDI, Berlin Group:
Sandboxes
Regulatory Sandbox for AI & Data Protection (ongoing)
Call for Contributions & Sandbox Justification (2023) – available in English
FR, Commission Nationale Informatique & Libertés (CNIL):
EdTech Sandbox Report (2022) – available in French
Digital Health Sandbox Report (2022) – available in French
AI & Public Services Sandbox (2023) (ongoing)
NOR, Datatilsynet:
Privacy Sandbox – Ongoing, initial reports 2023-2024
SG, Infocomm Media Development Authority (IMDA):
PET Sandbox:
Asia Tech x Singapore “Trust in Data” Roundtable – Report on Key Insights (2022
IMDA x Google: PET x Privacy Sandbox:
PET x Privacy Sandbox (ongoing)
IMDA x AI Verify Foundation: Generative AI Evaluation Sandbox
Generative AI Evaluation Sandbox (ongoing)
Generative AI: Implications for Trust and Governance – Discussion paper (2023)
IMDA Data Regulatory Sandbox:
Trusted Data Sharing Framework (2019)
Guide to Data Valuation for Data Sharing (2019)
Public-Private Data Collaboration Case Study (2019)
Case Studies:
IMDA x GPAI, Trustworthy PETs – Demonstration Report (2023)
More Data Through TEEs – Healthcare Services Case Study (2024)
Financial Fraud & Secure Data Collaborations – Mastercard Case Study
Digital Advertising Without 3rd Party Cookies – Meta Case Study
UK, Information Commissioner’s Office (ICO):
Regulatory Sandbox (ongoing)
Financial Institutions, Home Office and UK Finance Exit Report (2024)
Thames Valley Police Report (2023)
Our Future Health Report (2023)
Smart Data Foundry Exit Report (2022)
Betting and Gaming Council Exit Report (2022)
Tech Horizons Exit Report (2022)
CDD Services Exit Report (2022)
FlyingBinary Exit Report (2022)
Regulatory Sandbox beta review (2021)
Case Studies:
ICO x Duality Technologies: Homomorphic Encryption for Data Sharing
ICO x Privacy Analytics: Differentially Private Mixed Noise in Financial Services
G7’s DPA’s Emerging Technologies Working Group Use Case Study on PETs
Research Coordination Network Information
FPF Awarded NSF and DOE Grants to Advance White House Executive Order on Artificial Intelligence (February 2024)
Click here to learn more about FPF’s Research Coordination Network