activity
20152023
most citedTechnical Privacy Metrics: a Systematic Survey

351 citations · 429 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CY2023

What's going on at the back-end? Risks and benefits of smart toilets

Isabel Wagner, Eerke Boiten

This paper presents a thematic analysis of an expert focus group considering smart toilets that record health data. The themes that arise indicate risks, many of which could be mit…

cs.CR2023

Changes in Conducting Data Protection Risk Assessment and After GDPR implementation

Fatemeh Zarrabi, Isabel Wagner, Eerke Boiten

Based on Article 35 of the EU (European Union) General Data Protection Regulation, a Data Protection Impact Assessment (DPIA) is necessary whenever there is a possibility of a high…

cs.CR2022★ 7 cited

Privacy Policies Across the Ages: Content and Readability of Privacy Policies 1996--2021

Isabel Wagner

It is well-known that most users do not read privacy policies, but almost all users tick the box to agree with them. In this paper, we analyze the 25-year history of privacy polici…

cs.CR2019★ 14 cited

Using Metrics Suites to Improve the Measurement of Privacy in Graphs

Isabel Wagner, Yuchen Zhao

Social graphs are widely used in research (e.g., epidemiology) and business (e.g., recommender systems). However, sharing these graphs poses privacy risks because they contain sens…

cs.CR2017★ 32 cited

Privacy Risk Assessment: From Art to Science, By Metrics

Isabel Wagner, Eerke Boiten

Privacy risk assessments aim to analyze and quantify the privacy risks associated with new systems. As such, they are critically important in ensuring that adequate privacy protect…

cs.CR2016★ 25 cited

Evaluating the Strength of Genomic Privacy Metrics

Isabel Wagner

The genome is a unique identifier for human individuals. The genome also contains highly sensitive information, creating a high potential for misuse of genomic data (for example, g…

cs.CR2015★ 351 cited

Technical Privacy Metrics: a Systematic Survey

Isabel Wagner, David Eckhoff

The goal of privacy metrics is to measure the degree of privacy enjoyed by users in a system and the amount of protection offered by privacy-enhancing technologies. In this way, pr…