Daan Otto

Linear Model Extraction via Factual and Counterfactual Queries

  • Daan Otto
  • Jannis Kurtz
  • Dick den Hertog
  • Ş. İlker Birbil
    • Categories Data Science Algorithms, Data Science Theory, Optimization in Data Science Tags , ,

    In model extraction attacks, the goal is to reveal the parameters of a black-box machine learning model by querying the model for a selected set of data points. Due to an increasing demand for explanations, this may involve counterfactual queries besides the typically considered factual queries. In this work, we consider linear models and three … Read more

    Coherent Local Explanations for Mathematical Optimization

  • Daan Otto
  • Jannis Kurtz
  • Ş. İlker Birbil
    • Categories Other Topics Tags , ,

    The surge of explainable artificial intelligence methods seeks to enhance transparency and explainability in machine learning models. At the same time, there is a growing demand for explaining decisions taken through complex algorithms used in mathematical optimization. However, current explanation methods do not take into account the structure of the underlying optimization problem, leading to … Read more