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Research

Published papers related to PLEAK:

  1. Marlon Dumas, Luciano García-Bañuelos, Peeter Laud: Differential Privacy Analysis of Data Processing Workflows. GraMSec@CSF 2016: 62-79
  2. Martin Pettai, Peeter Laud: Combining Differential Privacy and Mutual Information for Analyzing Leakages in Workflows. POST 2017: 298-319
  3. Pille Pullonen, Raimundas Matulevičius, Dan Bogdanov: PE-BPMN: Privacy-Enhanced Business Process Model and Notation. BPM 2017: 40-56 https://link.springer.com/chapter/10.1007/978-3-319-65000-5_3
  4. Marlon Dumas, Luciano García-Bañuelos, Peeter Laud: Disclosure Analysis of SQL Workflows. GraMSec@CSF 2018: ?-?
  5. Pille Pullonen, Jake Tom, Raimundas Matulevičius, Aivo Toots: Privacy-enhanced BPMN: enabling data privacy analysis in business processes models. Software & Systems Modeling, 2019 https://link.springer.com/article/10.1007/s10270-019-00718-z
  6. Aivo Toots, Reedik Tuuling, Maksym Yerokhin, Marlon Dumas, Luciano Garcia-Banuelos, Peeter Laud, Raimundas Matulevicius, Alisa Pankova, Martin Pettai, Pille Pullonen, Jake Tom: Business Process Privacy Analysis in Pleak. FASE, 2019. Full version available in https://arxiv.org/abs/1902.05052
  7. Peeter Laud, Alisa Pankova, Martin Pettai: Achieving Differential Privacy using Methods from Calculus, https://arxiv.org/abs/1811.06343
  8. Peeter Laud, Alisa Pankova: Interpreting Epsilon of Differential Privacy in Terms of Advantage in Guessing or Approximating Sensitive Attributes, https://arxiv.org/abs/1911.12777
  9. Sara Belluccini, Rocco De Nicola, Marlon Dumas, Pille Pullonen, Barbara Re, and Francesco Tiezzi: Verification of privacy-enhanced collaborations. FormaliSE 2020
research.txt · Last modified: 2020/10/12 13:08 by pullonen