Description
MATLAB code to reproduce results presented in the paper "Privacy-Preserving Data Aggregation with Probabilistic Range Validation".
The source code is available as a git repository.
The source code was published by the paper's authors several years after the paper was published.
Git repository:
Relevant code is stored in the "src" directory.
Measures and visualises various metrics shown in the paper. The settings in the various scripts correspond exactly to those used to achieve the results in the paper. The code is fully deterministic and gives the exact same results each time.
Unfortunately, Figure 6 in the paper was generated with a version of this code in which the seed for the random number generator was not configured correctly, and as a result Figure 6 cannot be recreated exactly. However, the outputs of the scripts in the repository are not significantly different from the published Figure 6, and do not undermine or alter the conclusions in any significant way.
See "ARTIFACT-EVALUATION.md" in the root folder for detailed end-user instructions.
The source code is available as a git repository.
The source code was published by the paper's authors several years after the paper was published.
Git repository:
Relevant code is stored in the "src" directory.
Measures and visualises various metrics shown in the paper. The settings in the various scripts correspond exactly to those used to achieve the results in the paper. The code is fully deterministic and gives the exact same results each time.
Unfortunately, Figure 6 in the paper was generated with a version of this code in which the seed for the random number generator was not configured correctly, and as a result Figure 6 cannot be recreated exactly. However, the outputs of the scripts in the repository are not significantly different from the published Figure 6, and do not undermine or alter the conclusions in any significant way.
See "ARTIFACT-EVALUATION.md" in the root folder for detailed end-user instructions.
| Date made available | 15 May 2025 |
|---|---|
| Publisher | TU Delft - 4TU.ResearchData |
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Graph-Based Reconstruction in Summation Sequences
Dekker, F. W., 2025, 165 p.Research output: Thesis › Dissertation (TU Delft)
Open AccessFile9 Downloads (Pure) -
Privacy-Preserving Data Aggregation with Probabilistic Range Validation
Dekker, F. W. & Erkin, Z., 2021, Applied Cryptography and Network Security - 19th International Conference, ACNS 2021, Proceedings. Sako, K. & Tippenhauer, N. O. (eds.). 19 ed. Kamakura, Japan: Springer Nature, Vol. 12727. p. 79-98 20 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12727 LNCS).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile2 Link opens in a new tab Citations (Scopus)1307 Downloads (Pure)
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