| 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 | Protecting Society from Fake Advertisement Campaigns: Innovative Graph Based Analysis and Approach. | Ewelina Bartuzi-Trokielewicz, Alicja Martinek, 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 | ICCCI | Evaluating the Strategy to Deploy Large Language Models to Label Training Data in the Process of Fake News Detection. | Martyna Tarczewska, Rafal Kozik, Michal Choras |
| 2025 | ICDM | Days of Future Past: Towards Robust Detection of Malware Variants via LLM-Based Embedding Generation. | Giacomo Benedetti, Luca Caviglione, Michal Choras, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Antonino Rullo |
| 2025 | ICDM | Innovative Graph-Based Analysis to Counter VAT Carousel and Credit Card Frauds. | Rafal Kozik, Piotr Gocal, Michal Choras |
| 2025 | ICDM | Innovative Approach to Use Large Language Models (LLM) for Continuous Annotation of Disinformation. | Sebastian Kula, Rafal Kozik, Michal Choras |
| 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 | Strategies to Use Harvesters in Trustworthy Fake News Detection Systems. | Krzysztof Cabaj, Marcin Kowalczyk, Marcin Gregorczyk, Michal Choras, Rafal Kozik, Wojciech Mazurczyk |
| 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 | 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 | Transformer Based Models in Fake News Detection. | Sebastian Kula, Rafal Kozik, Michal Choras, Michal Wozniak |
| 2021 | ICCS | The Methods and Approaches of Explainable Artificial Intelligence. | Mateusz Szczepanski, Michal Choras, Marek Pawlicki, Aleksandra Pawlicka |
| 2020 | EASE | Actionable Software Metrics: An Industrial Perspective. | Prabhat Ram, Pilar Rodrguez, Markku Oivo, Silverio Martnez-Fernndez, Alessandra Bagnato, Michal Choras, Rafal Kozik, Sanja Aaramaa, Milla Ahola |
| 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 | Sentiment Analysis for Fake News Detection by Means of Neural Networks. | Sebastian Kula, Michal Choras, Rafal Kozik, Pawel Ksieniewicz, Michal Wozniak |
| 2020 | ICCS | On the Impact of Network Data Balancing in Cybersecurity Applications. | Marek Pawlicki, Michal Choras, Rafal Kozik, Witold Holubowicz |
| 2020 | IJCNN | Fake News Detection from Data Streams. | Pawel Ksieniewicz, Pawel Zyblewski, Michal Choras, Rafal Kozik, Agata Gielczyk, Michal Wozniak |
| 2020 | IJCNN | Achieving Explainability of Intrusion Detection System by Hybrid Oracle-Explainer Approach. | Mateusz Szczepanski, Michal Choras, Marek Pawlicki, Rafal Kozik |
| 2020 | PROFES | An Empirical Investigation into Industrial Use of Software Metrics Programs. | Prabhat Ram, Pilar Rodrguez, Markku Oivo, Alessandra Bagnato, Antonin Abherve, Michal Choras, Rafal Kozik |
| 2019 | CAIP | Binary Code for the Compact Palmprint Representation Using Texture Features. | Agata Gielczyk, Gian Luca Marcialis, Michal Choras |
| 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 |
| 2019 | IDEAL | Machine Learning Methods for Fake News Classification. | Pawel Ksieniewicz, Michal Choras, Rafal Kozik, Michal Wozniak |
| 2019 | QUATIC | Data-Driven Elicitation of Quality Requirements in Agile Companies. | Marc Oriol, Pertti Seppnen, Woubshet Behutiye, Carles Farr, Rafal Kozik, Silverio Martnez-Fernndez, Pilar Rodrguez, Xavier Franch, Sanja Aaramaa, Antonin Abherv, Michal Choras, Jari Partanen |
| 2018 | CaiSE | Q-Rapids Tool Prototype: Supporting Decision-Makers in Managing Quality in Rapid Software Development. | Lidia Lpez, Silverio Martnez-Fernndez, Cristina Gmez, Michal Choras, Rafal Kozik, Liliana Guzmn, Anna Maria Vollmer, Xavier Franch, Andreas Jedlitschka |
| 2018 | DEPCoS | Platform for Software Quality and Dependability Data Analysis. | Rafal Kozik, Michal Choras, Damian Puchalski, Rafal Renk |
| 2016 | HAIS | Solution to Data Imbalance Problem in Application Layer Anomaly Detection Systems. | Rafal Kozik, Michal Choras |
| 2015 | ESORICS | Privacy-Preserving Biometric Authentication and Matching via Lattice-Based Encryption. | Constantinos Patsakis, Jeroen van Rest, Michal Choras, Mlanie Bouroche |
| 2010 | ICCVG | Image Recognition Techniques Applied to Automated and Objective QoE Assessment of Mobile WWW Services. | Michal Choras, Adam Flizikowski, Rafal Kozik, Witold Holubowicz |
| 2010 | WEBIST | Intersection Approach to Vulnerability Handling. | Michal Choras, Salvatore D'Antonio, Rafal Kozik, Witold Holubowicz |
| 2009 | CRITIS | Decision Aid Tool and Ontology-Based Reasoning for Critical Infrastructure Vulnerabilities and Threats Analysis. | Michal Choras, Adam Flizikowski, Rafal Kozik, Witold Holubowicz |
| 2008 | ISDA | A Novel Shape-Texture Approach to Palmprint Detection and Identification. | Michal Choras, Rafal Kozik, Aleksandra Zelek |
| 2007 | IBPRIA | Recognizing Individual Typing Patterns. | Michal Choras, Piotr Mroczkowski |
| 2007 | WEBIST | Web Security Enhancement based on Keystroke Dynamics. | Michal Choras, Piotr Mroczkowski |
| 2006 | ICAISC | Symmetry-Based Salient Points Detection in Face Images. | Michal Choras, Tomasz Andrysiak |
| 2006 | ICINCO | Stereo disparity estimation using discrete orthogonal moments. | Tomasz Andrysiak, Michal Choras |
| 2006 | ISDA | Geometrical Algorithms of Ear Contour Shape Representation and Feature Extraction. | Michal Choras, Ryszard S. Choras |
| 2006 | ISDA | Hand Shape Geometry and Palmprint Features for the Personal Identification. | Ryszard S. Choras, Michal Choras |
| 2004 | ICAISC | Human Ear Identification Based on Image Analysis. | Michal Choras |