Relevant bibliographies by topics / Toolchain provenance

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Toolchain provenance'

Author: Grafiati
Published: 8 June 2024
Last updated: 31 July 2025

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Journal articles on the topic "Toolchain provenance"

1

Villa-Uriol, M. C., G. Berti, D. R. Hose, et al. "@neurIST complex information processing toolchain for the integrated management of cerebral aneurysms." Interface Focus 1, no. 3 (2011): 308–19. http://dx.doi.org/10.1098/rsfs.2010.0033.

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Cerebral aneurysms are a multi-factorial disease with severe consequences. A core part of the European project @neurIST was the physical characterization of aneurysms to find candidate risk factors associated with aneurysm rupture. The project investigated measures based on morphological, haemodynamic and aneurysm wall structure analyses for more than 300 cases of ruptured and unruptured aneurysms, extracting descriptors suitable for statistical studies. This paper deals with the unique challenges associated with this task, and the implemented solutions. The consistency of results required by
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2

Abuhamad, Mohammed, Tamer Abuhmed, David Mohaisen, and Daehun Nyang. "Large-scale and Robust Code Authorship Identification with Deep Feature Learning." ACM Transactions on Privacy and Security 24, no. 4 (2021): 1–35. http://dx.doi.org/10.1145/3461666.

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Successful software authorship de-anonymization has both software forensics applications and privacy implications. However, the process requires an efficient extraction of authorship attributes. The extraction of such attributes is very challenging, due to various software code formats from executable binaries with different toolchain provenance to source code with different programming languages. Moreover, the quality of attributes is bounded by the availability of software samples to a certain number of samples per author and a specific size for software samples. To this end, this work propo
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3

Jang, Hohyeon, Nozima Murodova, and Hyungjoon Koo. "ToolPhet: Inference of Compiler Provenance from Stripped Binaries with Emerging Compilation Toolchains." IEEE Access, 2024, 1. http://dx.doi.org/10.1109/access.2024.3355098.

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Dissertations / Theses on the topic "Toolchain provenance"

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Benoit, Tristan. "Cartographie des programmes et de leurs interrelations." Electronic Thesis or Diss., Université de Lorraine, 2023. http://www.theses.fr/2023LORR0320.

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Dans le domaine du génie logiciel, assurer la qualité et la sûreté des logiciels est complexe. Ce contexte est dû à un ensemble de facteurs, notamment l'utilisation croissante de bibliothèques et le recours à des pratiques comme la copie de codes à partir de services en ligne. Une réponse courante à cette problématique est l'application de méthodes formelles de validation des programmes avant leur diffusion. Cette approche, cependant, requiert une compréhension précise des enjeux à vérifier et un haut degré d'expertise. Cette thèse introduit des méthodes innovantes de rétro-ingénierie pour col
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Conference papers on the topic "Toolchain provenance"

1

Rosenblum, Nathan, Barton P. Miller, and Xiaojin Zhu. "Recovering the toolchain provenance of binary code." In the 2011 International Symposium. ACM Press, 2011. http://dx.doi.org/10.1145/2001420.2001433.

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Benoit, Tristan, Jean-Yves Marion, and Sebastien Bardin. "Binary level toolchain provenance identification with graph neural networks." In 2021 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER). IEEE, 2021. http://dx.doi.org/10.1109/saner50967.2021.00021.

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