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FPF Vehicle Safety Systems_March2024 FINAL
VEHICLE SAFETY SYSTEMS Privacy Risks and Recommendations MARCH 2024 The Future of Privacy Forum (FPF) is a non-profit organization that serves as a catalyst for privacy leadership and scholarship, advancing principled data practices in support of emerging technologies. Learn more about FPF by visiting fpf.org. AUTHORED BY Adonne Washington Policy Counsel, Mobility, Location, and Data […]
AI Audits, Equity Awareness in Data Privacy Methods, and Facial Recognition Technologies are Major Topics During This Year’s Privacy Papers for Policymakers Events
[…] think deeply about predictions rather than ban them altogether. Hideyuki Matsumi and Professor Daniel Solove In the evening’s final presentation, Robin Staab and Mislav Balunovic (ETH Zurich SRI Lab) discussed their paper, Beyond Memorization: Violating Privacy Via Inference with Large Language Models, with Professor Alicia Solow-Niederman (George Washington University Law School). Their paper, co-written […]
FPF Vehicle Safety Systems_March2024
VEHICLE SAFETY SYSTEMS Privacy Risks and Recommendations MARCH 2024 The Future of Privacy Forum (FPF) is a non-profit organization that serves as a catalyst for privacy leadership and scholarship, advancing principled data practices in support of emerging technologies. Learn more about FPF by visiting fpf.org. AUTHORED BY Adonne Washington Policy Counsel, Mobility, Location, and Data […]
FPF-PPPM-2024-Digest-FINAL PRINT-R3-singles (1)
[…] Language Models Robin Staab, Mark Vero, Mislav Balunovic and Martin Vechev Available at: https://arxiv.org/abs/2310.07298 Privacy Papers for Policymakers 202321 Robin Staab is PhD student at ETH Zurich SRI Lab, advised by Prof. Dr. Martin Vechev. Before this, he obtained both his Bachelor’s and Master’s degrees in Computer Science at ETH Zurich. He is the […]
FPF Risk Framework for Body-Related Data FINAL Digital
[…] IMMERSIVE TECHNOLOGIES | FUTURE OF PRIVACY FORUM | DECEMBER 2023 Some of this body-related data may fall outside the scope of state data privacy laws, such as Virginia’s Consumer Data Protection Act (VCDPA), which exempts “publicly available information” from coverage. 41 Many U.S. data privacy laws define publicly available information to include information that […]
Five Big Questions (and Zero Predictions) for the U.S. State Privacy Landscape in 2024
[…] the year that the public first experiences widespread enforcement of their new privacy rights? One structural reason for a lack of visible enforcement actions may be that Virginia, Colorado, Connecticut, and until recently, California all provide the ability for businesses to ‘cure’ many or all alleged violations of their privacy laws before a formal […]
14th Annual Privacy Papers for Policymakers
[…] The George Washington University Law School The Prediction Society: Algorithms and the Problems of Forecasting the Future, by Hideyuki Matsumi, Vrije Universiteit Brussel and Daniel Solove, The George Washington University Law School Beyond Memorization: Violating Privacy Via Inference with Large Language Models, Robin Staab, Mark Vero, Mislav Balunovic, and Martin Vechev, ETH Zurich SRI Lab
Navigating Cross-Border Data Transfers in the Asia-Pacific region (APAC): Analyzing Legal Developments from 2021 to 2023
Today, the Future of Privacy Forum (FPF) published an Issue Brief comparatively analyzing cross-border data transfer provisions in new data protection laws in the Asia-Pacific. Titled Navigating Cross-Border Data Transfers in the Asia-Pacific region (APAC): Analyzing Legal Developments from 2021 to 2023, the Issue Brief outlines key developments in cross-border data transfers in the Asia-Pacific […]
Data Sharing for Research: A Compendium of Case Studies, Analysis, and Recommendations
Today, the Future of Privacy Forum (FPF) published a report on corporate-academic partnerships that provides practical recommendations for companies and researchers who want to share data for research. The Report, Data Sharing for Research: A Compendium of Case Studies, Analysis, and Recommendations, demonstrates how, for many organizations, data-sharing partnerships are transitioning from being considered an […]
FPF Data Sharing for Research – Executive Summary R3
FPF ’s Compendium of Case Studies, Analysis, and Recommendations is the result of a thorough analysis of a diverse sample of data sharing partnerships between companies and academic researchers. As part of a process that included nearly two dozen live interviews, FPF has produced a series of case studies that examine the different forms that […]