Hubert Baniecki

Faculty of Mathematics and Information ScienceWarsaw University of Technology

find me @hbaniecki

I’m an MSc student in Data Science at Warsaw University of Technology; working in the MI² research lab led by Przemysław Biecek.

My research interests include explainable machine learning, responsibility, evaluation and adversarial attacks.

Developing and maintaining open-source Python & R packages used for explainability of predictive models.

I received the John M. Chambers Statistical Software Award (2022).


news [archive]

2022-Jun New paper Fooling Partial Dependence via Data Poisoning is accepted for publication at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD’22).
2022-Jun I got admissioned to PhD in Computer Science at the University of Warsaw and got funded by the project ARES: Attack-Resistant Explanations toward Secure and trustworthy AI (426K PLN ).
2022-Mar I received the Minister’s (of Education and Science, Poland) scholarship for students for significant scientific achievements.
2022-Jan dalex received the John M. Chambers Statistical Software Award combined with my invited talk at the 2022 Joint Statistical Meetings, Washington DC, USA.
2021-Oct New paper Manipulating SHAP via Adversarial Data Perturbations (Student Abstract) is accepted for publication at the AAAI Conference on Artificial Intelligence (AAAI’22).

highlights [more]

  1. ECML PKDD BSc
    Fooling Partial Dependence via Data Poisoning
    H. Baniecki, W. Kretowicz, P. Biecek
    In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2022
    Note: This paper is the core of our BSc thesis defended at Warsaw University of Technology.
  2. AAAI SA
    Manipulating SHAP via Adversarial Data Perturbations (Student Abstract)
    H. Baniecki, P. Biecek
    In: AAAI Conference on Artificial Intelligence (AAAI), 2022
  3. JMLR MLOSS
    dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python
    H. Baniecki, W. Kretowicz, P. Piatyszek, J. Wisniewski, P. Biecek
    Journal of Machine Learning Research, 2021