activity
20202025
most citedReconstruction Attack on Differential Private Trajectory Protection Mechanisms

17 citations · 42 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CR2025

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation?

Erik Buchholz, Natasha Fernandes, David D. Nguyen +3

While location trajectories offer valuable insights, they also reveal sensitive personal information. Differential Privacy (DP) offers formal protection, but achieving a favourable…

cs.CR2024

Demystifying Trajectory Recovery From Ash: An Open-Source Evaluation and Enhancement

Nicholas D'Silva, Toran Shahi, Øyvind Timian Dokk Husveg +3

Once analysed, location trajectories can provide valuable insights beneficial to various applications. However, such data is also highly sensitive, rendering them susceptible to pr…

cs.CR2024★ 2 cited

Synthetic Trajectory Generation Through Convolutional Neural Networks

Jesse Merhi, Erik Buchholz, Salil S. Kanhere

Location trajectories provide valuable insights for applications from urban planning to pandemic control. However, mobility data can also reveal sensitive information about individ…

cs.CR2024★ 12 cited

SoK: Can Trajectory Generation Combine Privacy and Utility?

Erik Buchholz, Alsharif Abuadbba, Shuo Wang +2

While location trajectories represent a valuable data source for analyses and location-based services, they can reveal sensitive information, such as political and religious prefer…

cs.CR2022★ 17 cited

Reconstruction Attack on Differential Private Trajectory Protection Mechanisms

Erik Buchholz, Alsharif Abuadbba, Shuo Wang +2

Location trajectories collected by smartphones and other devices represent a valuable data source for applications such as location-based services. Likewise, trajectories have the…

cs.CR2021★ 6 cited

Collaboration is not Evil: A Systematic Look at Security Research for Industrial Use

Jan Pennekamp, Erik Buchholz, Markus Dahlmanns +6

Following the recent Internet of Things-induced trends on digitization in general, industrial applications will further evolve as well. With a focus on the domains of manufacturing…

cs.CR2020★ 5 cited

Utilizing Public Blockchains for the Sybil-Resistant Bootstrapping of Distributed Anonymity Services

Roman Matzutt, Jan Pennekamp, Erik Buchholz +1

Distributed anonymity services, such as onion routing networks or cryptocurrency tumblers, promise privacy protection without trusted third parties. While the security of these ser…