License: 
Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DARTS.7.2.7
URN: urn:nbn:de:0030-drops-140319
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2021/14031/
Hao, Yu ;
Latif, Sufian ;
Zhang, Hailong ;
Bassily, Raef ;
Rountev, Atanas
Differential Privacy for Coverage Analysis of Software Traces (Artifact)
Abstract
We propose a differentially private coverage analysis for software traces. To demonstrate that it achieves low error and high precision while preserving privacy, we evaluate the analysis on simulated traces for 15 Android apps. The open source implementation of the analysis, which is in Java, and the dataset used in the experiments are released as an artifact. We also provide specific guidance on reproducing the experimental results.
BibTeX - Entry
@Article{hao_et_al:DARTS.7.2.7,
author = {Hao, Yu and Latif, Sufian and Zhang, Hailong and Bassily, Raef and Rountev, Atanas},
title = {{Differential Privacy for Coverage Analysis of Software Traces (Artifact)}},
pages = {7:1--7:3},
journal = {Dagstuhl Artifacts Series},
ISSN = {2509-8195},
year = {2021},
volume = {7},
number = {2},
editor = {Hao, Yu and Latif, Sufian and Zhang, Hailong and Bassily, Raef and Rountev, Atanas},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2021/14031},
URN = {urn:nbn:de:0030-drops-140319},
doi = {10.4230/DARTS.7.2.7},
annote = {Keywords: Trace Profiling, Differential Privacy, Program Analysis}
}
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Keywords: |
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Trace Profiling, Differential Privacy, Program Analysis |
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Collection: |
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DARTS, Volume 7, Issue 2, Special Issue of the 35th European Conference on Object-Oriented Programming (ECOOP 2021) |
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Related Scholarly Article: |
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https://doi.org/10.4230/LIPIcs.ECOOP.2021.8 |
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Issue Date: |
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2021 |
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Date of publication: |
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06.07.2021 |
