Data and code underlying the PhD thesis: Data Privacy in Supply Chains and Machine Learning through Differential Privacy and Cryptography

DOI:10.4121/45d2a6e7-d091-4cba-a07e-e0335cb0f144.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/45d2a6e7-d091-4cba-a07e-e0335cb0f144

Datacite citation style

Li, Tianyu (2024): Data and code underlying the PhD thesis: Data Privacy in Supply Chains and Machine Learning through Differential Privacy and Cryptography. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/45d2a6e7-d091-4cba-a07e-e0335cb0f144.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This folder includes the data and codes for my research papers on data anonymization for bin-packing and trajectory hiding in supply chains.

History

  • 2024-07-22 first online, published, posted

Publisher

4TU.ResearchData

Format

zip, ipynb, txt, png

Funding

  • Spark! Living Lab project (grant code 439.18.453B) Dutch Research Council

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, EEMCS, Cyber Security Group

DATA

Files (1)

  • 307,753,444 bytesMD5:a2f81f104818a65609d39e9d6327f751data.zip