Authors present Anonymeter, a statistical framework to jointly quantify different types of privacy risks in synthetic tabular datasets. We equip […]
Report aims to explore how the data protection by design and by default obligation breaks down in practice.
This Article discusses the digital
advertising regulatory landscape including the EU ePrivacy Directive, GDPR, CCPA, and other US
state consumer privacy laws.
As businesses increase their use of data to drive commercial activity, jurisdictions across the globe are strengthening regulatory frameworks and increasing controls on the collection, use and storage of personal information.
This document provides definitions for privacy and related concepts that are applicable worldwide.
vereign Identity (SSI) technology offers the potential of boosting the security of digital identities as it provides users with control over their own identifiers.
The results show that diffusion models are much less private than prior generative models and that mitigating these vulnerabilities may require new advances in privacy-preserving training.
The purpose of this document is to educate policymakers about transparency in the context of AI systems and offer suggested policy approaches.
EDPS has developed the TechSonar project with the aim of identify emerging technologies.
Report outlines how national courts and Data Protection Authorities (DPAs) in the EU/EEA and UK have interpreted GDPR provisions on automated decisionmaking.