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Neural Data State Tracker Chart
[…] d in g partn e rs h ip s, c o rp ora tio ns, asso cia tio ns, or p ub lic or priv a te org an iz a tio ns t h at eit h e r offer co n su m er g en etic te stin g pro d […]
FPF at PDP Week 2025: Generative AI, Digital Trust, and the Future of Cross-Border Data Transfers in APAC
Authors: Darren Ang Wei Cheng and James Jerin Akash ( FPF APAC Interns) From July 7 to 10, 2025, the Future of Privacy Forum (FPF)’s Asia-Pacific (APAC) office was actively engaged in Singapore’s Personal Data Protection Week 2025 (PDP Week) – a week of events hosted by the Personal Data Protection Commission of Singapore […]
Balancing Innovation and Oversight: Regulatory Sandboxes as a Tool for AI Governance
[…] to “rapidly deploy and test AI tools while committing to open sharing of data and results.” As AI systems grow more advanced and widespread, their complexity poses significant challenges for legal compliance and effective oversight. Regulatory sandboxes can potentially address these challenges. The probabilistic nature of advanced AI systems, especially generative AI, can make […]
Practical Takeaways from FPF’s Privacy Enhancing Technologies Workshop
[…] encrypted data, and the participants discussed the benefits related to privacy and broader compliance requirements this technique captures. To learn more about the presentation and discussion, download FPF’s new Issue Brief, PETs Use Case: Preventing Financial Fraud Across Different Jurisdictions with Fully Homomorphic Encryption. The second PET presentation by Robert Pisarczyk, CEO and Co-Founder […]
Privacy Enhancing Technologies Workshop Proceedings
On April 25, 2025, the Future of Privacy Forum and the Mozilla Foundation co-hosted a Privacy Enhancing Technologies (PETs) Workshop in Washington, DC, convening industry, academia, and civil society experts to explore practical applications of PETs. The workshop featured two leading-edge use cases: Mastercard’s cross-border fraud detection system using Fully Homomorphic Encryption (FHE), and Oblivious’s […]
Privacy Enhancing Technologies Workshop Proceedings
[…] ○ The encrypted query is sent to a hub in an encrypted form to participating banks, and then a response is returned from the banks with a signal of “yes” or “no” to identify banking numbers that are or are highly likely to be fraudulent or otherwise involved in fraud; ○ It can return […]
PETs Use Case: Differential Privacy for End-of-Life Data
[…] tension between data privacy and utility: how to retain meaningful insights from personal data while complying with legal requirements to delete it. By applying Differential Privacy, the organization can preserve actuarial insights without violating global privacy laws, generating differentially private statistical “snapshots” before erasing the underlying microdata. This approach creates a privacy-preserving middle ground […]
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PETs Use Case_ Differential Privacy for End-of-Life Data
[…] at th e end of th e da ta ’s lif e cycle pre se nts a c rit ic a l ch alle nge fo r org aniz a tio ns. Under man y priv a cy la w s, co m panie s are obli g ate d to era se p […]