Ignacy Stepka

PhD Student @ Auton Lab
Machine Learning Department
Carnegie Mellon University
I’m currently working as a research assistant at Carnegie Mellon University with Dr. Artur Dubrawski in AutonLab. Right now, I mostly spend time thinking about gradient inversion attacks and privacy issues of federated learning. Before, I spent some time developing adaptive strategies for handling persistent agent failures in decentralized federated learning. I’ve also worked on formal verification of Bayesian Networks and contributed to the DARPA Triage Challenge, developing a Bayesian Network prototype with medical experts for autonomous triage during mass casualty incidents.
I’ve spent time as a research assistant at the Machine Learning Laboratory at Poznan University of Technology, collaborating with Prof. Jerzy Stefanowski and Dr. Mateusz Lango on developing robust counterfactual explanations for black-box model explainability.
I’ve also been part of the R&D team at Poznan Supercomputing and Networking Center (Polish Academy of Sciences), contributing to EU-funded projects involving black-box model analysis and anomaly detection in industrial automotive and HPC environments.
I graduated from Poznan University of Technology with a B.Sc. in Artificial Intelligence in early 2025.
news
Jun 06, 2025 | Paper on saliency maps and fairness to appear at SIGKDD'2025 (UMC) |
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Apr 21, 2025 | Paper on saliency maps and fairness accepted at XAI-2025 |
Apr 10, 2025 | DetoxAI public release |
Nov 17, 2024 | Paper accepted at SIGKDD'25 main track |
Nov 10, 2024 | Three posters at ML in PL in Warsaw, Poland |
Sep 13, 2024 | Oral presentation at XRAI workshop on ECML PKDD 2024 in Vilnus, Lithuania |
May 04, 2024 | Poster at GhostDay AMLC in Poznan, Poland |
Apr 24, 2023 | Poster at 4-th Polish Conference on Artificial Intelligence in Lodz, Poland |