PETs Use Case: Differential Privacy for End-of-Life Data
In this use case, Oblivious partnered with an insurance company to tackle a common 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 […]
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PETs Use Case_ Differential Privacy for End-of-Life Data
I S SU E BRIE F U .S . PO LIC Y P ETs Use Case : D iff ere ntia l Priv a cy fo r End -o f- L if e Data O rg an iz a tio ns: Obliv io us; unnam ed in su ra n ce co m pan y […]
Use Case: Preventing Financial Fraud Across Different Jurisdictions with Fully Homomorphic Encryption
Mastercard’s use of Fully Homomorphic Encryption (FHE) demonstrates how Privacy Enhancing Technologies (PETs) can support fraud detection across borders without compromising sensitive data. In this use case, Mastercard collaborated with Singapore’s Infocomm Media Development Authority to pilot a system that allows encrypted International Bank Account Numbers (IBANs) to be checked for fraud risk without revealing […]
PETs Use Case_ Preventing Financial Fraud Across Different Jurisdictions with Fully Homomorphic Encryption
I S SU E BRIE F U .S . PO LIC Y P ETs Use Case : P re ve ntin g Fin an cia l Fra u d Acro ss D iff ere nt Ju ris d ic tio ns wit h Fu ll y H om om orp hic Encry p tio n […]
FPF-Portal-Basic-User-Guide
FPF Portal Basic User Guide FPF Portal Login The FPF Portal is accessible to FPF Members via engage.fpf.org/ login . To login for the first time, click “Reset Password” and enter your email address. Then click “Send Password Link”. You will receive an email from the FPF Membership Team via Future of Privacy Forum <[email protected] […]
State AI Legislation Report
2 0 25 Tre n d s in U.S . Sta te AI Le g is la tio n A Lo ok at How U.S . Sta te Polic ym ake rs Are Appro achi ng Artifi cia l In te llig ence P re vie w of Fu tu re of Priv a cy […]
Data-Driven Pricing: Key Technologies, Business Practices, and Policy Implications
In the U.S., state lawmakers are seeking to regulate various pricing strategies that fall under the umbrella of “data-driven pricing”: practices that use personal and/or non-personal data to continuously inform decisions about the prices and products offered to consumers. Using a variety of terms—including “surveillance,” “algorithmic,” and “personalized” pricing—legislators are targeting a range of practices […]
Data-Driven Pricing: Key Technologies, Business Practices, and Policy Implications
Data-driven pricing: A set of practices that use personal and/or non-personal data to routinely inform decisions about the prices and products offered to consumers, often for the purpose of price personalization. State lawmakers in the U.S. are seeking to regulate various pricing strategies that fall under the umbrella of data-driven pricing, following the release in […]
Tech to Support Older Adults and Caregivers: Five Privacy Questions for Age Tech
Introduction As the U.S. population ages, technologies that can help support older adults are becoming increasingly important. These tools, often called “AgeTech”, exist at the intersection of health data, consumer technology, caregiving relationships, and increasingly, artificial intelligence, and are drawing significant investment. Hundreds of well funded start-ups have launched. Many are of major interest to […]