2026-07-19T19:46:23Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:14031 2024-03-06T11:05:12Z ddc:004 open_access

Differential Privacy for Coverage Analysis of Software Traces (Artifact) Hao, Yu Latif, Sufian Zhang, Hailong Bassily, Raef Rountev, Atanas Trace Profiling Differential Privacy Program Analysis 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. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Yu Hao and Sufian Latif and Hailong Zhang and Raef Bassily and Atanas Rountev 2021 Is Part Of DARTS, Volume 7, Issue 2, Special Issue of the 35th European Conference on Object-Oriented Programming (ECOOP 2021) Article Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DARTS.7.2.7 urn:nbn:de:0030-drops-140319 https://drops.dagstuhl.de/entities/document/10.4230/DARTS.7.2.7 eng https://creativecommons.org/licenses/by/4.0/legalcode