| 2026 | ICAART | Survey on Explainability-Weaponising Adversarial Attack Vectors against Deep Neural Networks and Artificial Intelligence. | Marek Pawlicki, Ryszard S. Choras, Rafal Kozik, Michal Choras |
| 2026 | ICCS | PISC: Physics-Informed Scene Constraints Method for Markerless 3D Human Localization for Safe Human-Robot Collaboration. | Rafal Kozik, Szymon Bus, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras |
| 2025 | AINA | Application of Selected Machine Learning Models in Leaf-Based Plant Health Assessment. | Jakub Filipek, Marek Pawlicki, Ryszard S. Choras, Rafal Kozik, Aleksandra Pawlicka, Michal Choras |
| 2025 | AINA | Evaluation of Selected Few-Shot Learning Methods in Network Intrusion Detection. | Eryk Winiecki, Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras |
| 2025 | ESORICS | Transparent and Trustworthy eXpainable AI (xAI) in Smart Human-Robot Collaboration Environment. | Michal Choras, Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik |
| 2025 | ICDM | Generative AI in Workplaces Worldwide: Emerging Ethical Risks and Mitigation Guidelines. | Aleksandra Pawlicka, Renata Tomaszewska, Marek Pawlicki, Rafal Kozik, Michal Choras |
| 2025 | ICDM | SHAP Analyses in Feature-Based and Principal Component-Based Model. | Sebastian Szelest, Marek Pawlicki, Ryszard S. Choras, Rafal Kozik, Michal Choras |
| 2024 | ACIIDS | Involving Society to Protect Society from Fake News and Disinformation: Crowdsourced Datasets and Text Reliability Assessment. | Gracjan Katek, Marta Gackowska, Joanna Komorniczak, Pawel Ksieniewicz, Rafal Kozik, Marek Pawlicki, Michal Choras |
| 2024 | ACIIDS | ULTIMATE Project Toolkit for Robotic AI-Based Data Analysis and Visualization. | Rafal Kozik, Damian Puchalski, Aleksandra Pawlicka, Szymon Bus, Jakub Glwka, Krishna Chandramouli, Marco Tiemann, Marek Pawlicki, Rafal Renk, Michal Choras |
| 2024 | ACIIDS | A Novel Approach to the Use of Explainability to Mine Network Intrusion Detection Rules. | Federica Uccello, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Michal Choras |
| 2024 | ESORICS | A Novel Method of Improving Intrusion Detection Systems Robustness Against Adversarial Attacks, Through Feature Omission and a Committee of Classifiers. | Marek Pawlicki, Federica Uccello, Salvatore D'Antonio, Rafal Kozik, Michal Choras |
| 2024 | ESORICS | Proposition of a Novel Type of Attacks Targetting Explainable AI Algorithms in Cybersecurity. | Sebastian Szelest, Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras |
| 2024 | ICCCI | From Detection Through Display to Understanding: Bridging AI and UI in Disinformation and Fake News Analysis. | Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras |
| 2024 | ICCSA | Comparative Analysis of AI-Based Methods for Enhancing Cybersecurity Monitoring Systems. | Federica Uccello, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Michal Choras |
| 2024 | ICDM | Towards Transparent AI-Powered Cybersecurity in Financial Systems: The Deployment of Federated Learning and Explainable AI in the CaixaBank pilot. | Aikaterini Karampasi, Panagiotis I. Radoglou-Grammatikis, Marek Pawlicki, Ryszard S. Choras, Ramon Martn de Pozuelo, Panagiotis G. Sarigiannidis, Damian Puchalski, Aleksandra Pawlicka, Rafal Kozik, Michal Choras |
| 2024 | ICDM | Real-world Application Facilitating Trustworthy Human-Robot Collaboration with Innovative Explainable Neuro-symbolic Reasoning. | Rafal Kozik, Szymon Bus, Grzegorz Gawdzik, Marek Pawlicki, Aleksandra Pawlicka, Michal Choras |
| 2024 | ICDM | Enhancing Clinical Trust: The Role of AI Explainability in Transforming Healthcare. | Aleksandra Pawlicka, Marek Pawlicki, Dagmara Jaroszewska-Choras, Rafal Kozik, Michal Choras |
| 2024 | ICDM | Semi-Supervised Learning Trumps Active Learning in Cold-Starting Netflow-Based AI Network Intrusion Detection Systems on Scarce and Difficult Data. | Marek Pawlicki, Aleksandra Pawlicka, Ryszard S. Choras, Rafal Kozik, Michal Choras |
| 2023 | DSAA | Combating Disinformation with Holistic Architecture, Neuro-symbolic AI and NLU Models. | Rafal Kozik, Wojciech Mazurczyk, Krzysztof Cabaj, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras |
| 2023 | DSAA | Model Stitching Algorithm for Fake News Detection Problem. | Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras |
| 2023 | DSAA | Towards Quality Measures for xAI algorithms: Explanation Stability. | Marek Pawlicki |
| 2023 | ESORICS | Not Only Security and Privacy: The Evolving Ethical and Legal Challenges of E-Commerce. | Michal Choras, Aleksandra Pawlicka, Dagmara Jaroszewska-Choras, Marek Pawlicki |
| 2023 | ICDM | The Need for Practical Legal and Ethical Guidelines for Explainable AI-based Network Intrusion Detection Systems. | Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Michal Choras |
| 2023 | IJCNN | Improving Siamese Neural Networks with Border Extraction Sampling for the use in Real-Time Network Intrusion Detection. | Marek Pawlicki, Rafal Kozik, Michal Choras |
| 2022 | DSAA | Fast Hybrid Oracle-Explainer Approach to Explainability Using Optimized Search of Comprehensible Decision Trees. | Mateusz Szczepanski, Marek Pawlicki, Rafal Kozik, Michal Choras |
| 2022 | ICAISC | Analysis and Detection of DDoS Backscatter Using NetFlow Data, Hyperband-Optimised Deep Learning and Explainability Techniques. | Marek Pawlicki, Martin Zdnk, Rafal Kozik, Michal Choras |
| 2021 | ACIIDS | Missing and Incomplete Data Handling in Cybersecurity Applications. | Marek Pawlicki, Michal Choras, Rafal Kozik, Witold Holubowicz |
| 2021 | ICCCI | The Proposition of Balanced and Explainable Surrogate Method for Network Intrusion Detection in Streamed Real Difficult Data. | Mateusz Szczepanski, Mikolaj Komisarek, Marek Pawlicki, Rafal Kozik, Michal Choras |
| 2021 | ICCS | The Methods and Approaches of Explainable Artificial Intelligence. | Mateusz Szczepanski, Michal Choras, Marek Pawlicki, Aleksandra Pawlicka |
| 2020 | ICCS | Machine Learning - The Results Are Not the only Thing that Matters! What About Security, Explainability and Fairness? | Michal Choras, Marek Pawlicki, Damian Puchalski, Rafal Kozik |
| 2020 | ICCS | On the Impact of Network Data Balancing in Cybersecurity Applications. | Marek Pawlicki, Michal Choras, Rafal Kozik, Witold Holubowicz |
| 2020 | IJCNN | Achieving Explainability of Intrusion Detection System by Hybrid Oracle-Explainer Approach. | Mateusz Szczepanski, Michal Choras, Marek Pawlicki, Rafal Kozik |
| 2019 | ICCCI | The Identification and Creation of Ontologies for the Use in Law Enforcement AI Solutions - MAGNETO Platform Use Case. | Rafal Kozik, Michal Choras, Marek Pawlicki, Witold Holubowicz, Dirk Pallmer, Wilmuth Mller, Ernst-Josef Behmer, Ioannis V. Loumiotis, Konstantinos P. Demestichas, Roxana Horincar, Claire Laudy, David Faure |
| 2019 | ICCS | Recognizing Faults in Software Related Difficult Data. | Michal Choras, Marek Pawlicki, Rafal Kozik |
| 2019 | IDEAL | The Feasibility of Deep Learning Use for Adversarial Model Extraction in the Cybersecurity Domain. | Michal Choras, Marek Pawlicki, Rafal Kozik |