By Mr Erik Buchholz

Preprints

Buchholz E; Fernandes N; Nguyen DD; Abuadbba A; Nepal S; Kanhere SS, 2025, What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation?, http://dx.doi.org/10.48550/arxiv.2506.09312

D'Silva N; Shahi T; Husveg ØTD; Sanjeeve A; Buchholz E; Kanhere SS, 2024, Demystifying Trajectory Recovery From Ash: An Open-Source Evaluation and Enhancement, http://dx.doi.org/10.48550/arxiv.2409.14645

Merhi J; Buchholz E; Kanhere SS, 2024, Synthetic Trajectory Generation Through Convolutional Neural Networks, http://dx.doi.org/10.48550/arxiv.2407.16938

Buchholz E; Abuadbba A; Wang S; Nepal S; Kanhere SS, 2024, SoK: Can Trajectory Generation Combine Privacy and Utility?, http://dx.doi.org/10.48550/arxiv.2403.07218

Buchholz E; Abuadbba A; Wang S; Nepal S; Kanhere SS, 2022, Reconstruction Attack on Differential Private Trajectory Protection Mechanisms, http://dx.doi.org/10.1145/3564625.3564628

Pennekamp J; Buchholz E; Dahlmanns M; Kunze I; Braun S; Wagner E; Brockmann M; Wehrle K; Henze M, 2021, Collaboration is not Evil: A Systematic Look at Security Research for Industrial Use, http://dx.doi.org/10.48550/arxiv.2112.11417

Matzutt R; Pennekamp J; Buchholz E; Wehrle K, 2020, Utilizing Public Blockchains for the Sybil-Resistant Bootstrapping of Distributed Anonymity Services, http://dx.doi.org/10.48550/arxiv.2004.06386

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