47 citations · 110 across the 11 of their papers we have counts for
8 papers · 1 filter
SoK: Privacy-Preserving Data Synthesis
Yuzheng Hu, Fan Wu, Qinbin Li +7
As the prevalence of data analysis grows, safeguarding data privacy has become a paramount concern. Consequently, there has been an upsurge in the development of mechanisms aimed a…
Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry
Gonzalo Munilla Garrido, Xiaoyuan Liu, Florian Matthes +1
Since its introduction in 2006, differential privacy has emerged as a predominant statistical tool for quantifying data privacy in academic works. Yet despite the plethora of resea…
Exploring privacy-enhancing technologies in the automotive value chain
Gonzalo Munilla Garrido, Kaja Schmidt, Christopher Harth-Kitzerow +3
Privacy-enhancing technologies (PETs) are becoming increasingly crucial for addressing customer needs, security, privacy (e.g., enhancing anonymity and confidentiality), and regula…
Exploring the Privacy Risks of Adversarial VR Game Design
Vivek Nair, Gonzalo Munilla Garrido, Dawn Song +1
Fifty study participants playtested an innocent-looking "escape room" game in virtual reality (VR). Within just a few minutes, an adversarial program had accurately inferred over 2…
Verifying Outsourced Computation in an Edge Computing Marketplace
Christopher Harth-Kitzerow, Gonzalo Munilla Garrido
An edge computing marketplace could enable IoT devices (Outsourcers) to outsource computation to any participating node (Contractors) in their proximity. In return, these nodes rec…
Exponential Randomized Response: Boosting Utility in Differentially Private Selection
Gonzalo Munilla Garrido, Florian Matthes
A differentially private selection algorithm outputs from a finite set the item that approximately maximizes a data-dependent quality function. The most widely adopted mechanisms t…
Do I Get the Privacy I Need? Benchmarking Utility in Differential Privacy Libraries
Gonzalo Munilla Garrido, Joseph Near, Aitsam Muhammad +3
An increasing number of open-source libraries promise to bring differential privacy to practice, even for non-experts. This paper studies five libraries that offer differentially p…
Revealing the Landscape of Privacy-Enhancing Technologies in the Context of Data Markets for the IoT: A Systematic Literature Review
Gonzalo Munilla Garrido, Johannes Sedlmeir, Ömer Uludağ +3
IoT data markets in public and private institutions have become increasingly relevant in recent years because of their potential to improve data availability and unlock new busines…