2 citations · 3 across the 2 of their papers we have counts for
5 papers
Privacy-Preserving Directly-Follows Graphs: Balancing Risk and Utility in Process Mining
Gamal Elkoumy, Alisa Pankova, Marlon Dumas
Process mining techniques enable organizations to analyze business process execution traces in order to identify opportunities for improving their operational performance. Oftentim…
Secure Multi-Party Computation for Inter-Organizational Process Mining
Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen, Marlon Dumas +3
Process mining is a family of techniques for analysing business processes based on event logs extracted from information systems. Mainstream process mining tools are designed for i…
Interpreting Epsilon of Differential Privacy in Terms of Advantage in Guessing or Approximating Sensitive Attributes
Peeter Laud, Alisa Pankova
There are numerous methods of achieving -differential privacy (DP). The question is what is the appropriate value of , since there is no common agreement on a "sufficiently s…
Business Process Privacy Analysis in Pleak
Aivo Toots, Reedik Tuuling, Maksym Yerokhin +8
Pleak is a tool to capture and analyze privacy-enhanced business process models to characterize and quantify to what extent the outputs of a process leak information about its inpu…
Achieving Differential Privacy using Methods from Calculus
Peeter Laud, Alisa Pankova, Martin Pettai
We introduce derivative sensitivity, an analogue to local sensitivity for continuous functions. We use this notion in an analysis that determines the amount of noise to be added to…