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Biecek, Przemyslaw

  1. Adversarial attacks and defenses in explainable artificial intelligence: A survey
    2023/06/06 by Hubert Baniecki, Baniecki, Hubert, Przemysław Biecek +1 · 11 citations
    Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  2. Transparency, Auditability and eXplainability of Machine Learning Models\n in Credit Scoring
    2020/01/01 by Michael Bücker, Gero Szepannek, Bücker, Michael +6 · 6 citations
    Business, Management and Accounting · Computer Science · Economics, Econometrics and Finance · #Applications (stat.AP) #Credit Risk and Financial Regulations #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Economics and business #Financial Distress and Bankruptcy Prediction #General Economics (econ.GN) #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
  3. Interpreting CLIP with Hierarchical Sparse Autoencoders
    2025/02/27 by Vladimir Zaigrajew, Zaigrajew, Vladimir, Hubert Baniecki +3 · 15 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  4. Do Not Trust Additive Explanations
    2019/03/27 by Alicja Gosiewska, Przemysław Biecek, Gosiewska, Alicja +2 · 2 citations
    Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #cs.LG #stat.ML
  5. Rethinking Visual Counterfactual Explanations Through Region Constraint
    2024/10/16 by Bartłomiej Sobieski, Jakub Grzywaczewski, Sobieski, Bartlomiej +7 · 7 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Data Visualization and Analytics #FOS: Computer and information sciences
  6. Landscape of R packages for eXplainable Artificial Intelligence
    2020/09/24 by Maksymiuk, Szymon, Gosiewska, Alicja, Biecek, Przemyslaw · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  7. Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions
    2025/08/07 by Hubert Baniecki, Baniecki, Hubert, Maximilian Muschalik +9 · 1 voice · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CV #cs.LG
  8. Explaining and visualizing black-box models through counterfactual paths
    2023/07/15 by Bastian Pfeifer, Mateusz Krzyziński, Pfeifer, Bastian +9 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning in Healthcare #Topic Modeling
  9. Glocal Explanations of Expected Goal Models in Soccer
    2023/08/29 by Mustafa Çavuş, Cavus, Mustafa, Adrian Stańdo +3 · 1 citation
    Economics, Econometrics and Finance · Medicine · #Sports Analytics and Performance #Sports Performance and Training
  10. Red-Teaming Segment Anything Model
    2024/04/02 by Krzysztof Jankowski, Bartłomiej Sobieski, Jankowski, Krzysztof +11 · 1 citation
    Business, Management and Accounting · #Artificial Intelligence (cs.AI) #Big Data and Business Intelligence #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  11. Exploring Local Explanations of Nonlinear Models Using Animated Linear Projections
    2022/05/11 by N. Spyrison, Dianne Cook, Spyrison, Nicholas +2 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Data Analysis with R #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  12. Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models
    2024/07/23 by Chrabaszcz, Maciej, Baniecki, Hubert, Komorowski, Piotr +2 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  13. System-Embedded Diffusion Bridge Models
    2025/06/30 by Sobieski, Bartlomiej, Tivnan, Matthew, Wang, Yuang +5 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)