find me @hbaniecki
My research interests include explainable machine learning, responsibility, evaluation and adversarial attacks.
Developing and maintaining open-source Python & R packages for explainability of predictive models.
|2021-Oct new paper||
Manipulating SHAP via Adversarial Data Perturbations (Student Abstract)Accepted for publication at the AAAI Conference on Artificial Intelligence (AAAI-22).
|2021-Sep new paper||
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in PythonAccepted for publication in the Journal of Machine Learning Research (JMLR).
Contributing to the useR! 2021 conference with a talk
|2021-Feb||Started a master’s degree in Data Science at Warsaw University of Technology.|
Obtained a bachelor’s degree in Data Science at Faculty of Mathematics and Information Science, Warsaw University of Technology with a thesis
- arXivFooling Partial Dependence via Data PoisoningarXiv:2105.12837, 2021