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
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DOI: 10.4121/45d2a6e7-d091-4cba-a07e-e0335cb0f144
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.ResearchDataFormat
zip, ipynb, txt, pngFunding
- 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 GroupDATA
Files (1)
- 307,753,444 bytesMD5:
a2f81f104818a65609d39e9d6327f751
data.zip