Cyberspace threats: not only hackers and criminals. Raising the awareness of selected unusual cyberspace actors - cybersecurity researchers' perspective. - Aleksandra Pawlicka; Michal Choras; Marek Pawlicki (ARES, 2020)

Proposition of Innovative and Scalable Information System for Call Detail Records Analysis and Visualisation. - Rafal Kozik; Michal Choras; Marek Pawlicki; Aleksandra Pawlicka; Wojciech Warczak; Grzegorz Mazgaj (CISIS, 2020)

Guidelines for Stego/Malware Detection Tools: Achieving GDPR Compliance. - Aleksandra Pawlicka; Dagmara Jaroszewska-Choras; Michal Choras; Marek Pawlicki (IEEE Technol. Soc. Mag., 2020)

Why Do Law Enforcement Agencies Need AI for Analyzing Big Data? - Aleksandra Pawlicka; Michal Choras; Marcin Przybyszewski; Laurent Belmon; Rafal Kozik; Konstantinos P. Demestichas (CISIM, 2021)

Extending Machine Learning-Based Intrusion Detection with the Imputation Method. - Mikolaj Komisarek; Marek Pawlicki; Piotr Sobonski; Aleksandra Pawlicka; Rafal Kozik; Michal Choras (CORES/IP&C/ACS, 2021)

Using Machine Learning to Detect the Signs of Radicalization and Hate Speech on Twitter. - Marcin Kuchczynski; Aleksandra Pawlicka; Marek Pawlicki; Michal Choras (CORES/IP&C/ACS, 2021)

The Methods and Approaches of Explainable Artificial Intelligence. - Mateusz Szczepanski; Michal Choras; Marek Pawlicki; Aleksandra Pawlicka (ICCS (4), 2021)

The stray sheep of cyberspace a.k.a. the actors who claim they break the law for the greater good. - Aleksandra Pawlicka; Michal Choras; Marek Pawlicki (Pers. Ubiquitous Comput., 2021)

A Systematic Review of Recommender Systems and Their Applications in Cybersecurity. - Aleksandra Pawlicka; Marek Pawlicki; Rafal Kozik; Ryszard S. Choras (Sensors, 2021)

The cybersecurity-related ethical issues of cloud technology and how to avoid them. - Aleksandra Pawlicka; Marek Pawlicki; Rafal Renk; Rafal Kozik; Michal Choras (ARES, 2022)

Graph Databases and E-commerce Cybersecurity - a Match Made in Heaven? The Innovative Technology to Enhance Cyberthreat Mitigation. - Marek Pawlicki; Aleksandra Pawlicka; Rafal Kozik; Michal Choras (ISD, 2022)

The IoT Threat Landscape vs. Machine Learning, a.k.a. Who Attacks IoT, Why Do They Do It, and How to Prevent It? - Marek Pawlicki; Aleksandra Pawlicka; Mikolaj Komisarek; Rafal Kozik; Michal Choras (ISD, 2022)

Fake News and Threats to IoT - The Crucial Aspects of Cyberspace in the Times of Cyberwar. - Aleksandra Pawlicka; Marek Pawlicki; Rafal Kozik; Michal Choras (RIIFORUM, 2022)

How Machine Learning May Prevent the Breakdown of Democracy by Contributing to Fake News Detection. - Michal Choras; Aleksandra Pawlicka; Rafal Kozik; Michal Wozniak 001 (IT Prof., 2022)

How to Navigate the Uncharted Waters of Cyberwar. - Michal Choras; Aleksandra Pawlicka; Marek Pawlicki; Rafal Kozik (AMCIS, 2023)

How to Boost Machine Learning Network Intrusion Detection Performance with Encoding Schemes. - Marek Pawlicki; Aleksandra Pawlicka; Rafal Kozik; Michal Choras (CISIM, 2023)

SWAROG Project Approach to Fake News Detection Problem. - Rafal Kozik; Joanna Komorniczak; Pawel Ksieniewicz; Aleksandra Pawlicka; Marek Pawlicki; Michal Choras (CISIS-ICEUTE, 2023)

Interpreting Intrusions - The Role of Explainability in AI-Based Intrusion Detection Systems. - Marek Pawlicki; Aleksandra Pawlicka; Mscislaw Srutek; Rafal Kozik; Michal Choras (CORES/IP&C, 2023)

How to secure the IoT-based surveillance systems in an ELEGANT way. - Aleksandra Pawlicka; Damian Puchalski; Marek Pawlicki; Rafal Kozik; Michal Choras (CSR, 2023)

Combating Disinformation with Holistic Architecture, Neuro-symbolic AI and NLU Models. - Rafal Kozik; Wojciech Mazurczyk; Krzysztof Cabaj; Aleksandra Pawlicka; Marek Pawlicki; Michal Choras (DSAA, 2023)

Model Stitching Algorithm for Fake News Detection Problem. - Rafal Kozik; Aleksandra Pawlicka; Marek Pawlicki; Michal Choras (DSAA, 2023)

Not Only Security and Privacy: The Evolving Ethical and Legal Challenges of E-Commerce. - Michal Choras; Aleksandra Pawlicka; Dagmara Jaroszewska-Choras; Marek Pawlicki (ESORICS Workshops (1), 2023)

The Rise of AI-Powered Writing: How ChatGPT is Revolutionizing Scientific Communication for Better or for Worse. - Aleksandra Pawlicka; Marek Pawlicki; Rafal Kozik; Michal Choras (ICAI (1), 2023)

The Need for Practical Legal and Ethical Guidelines for Explainable AI-based Network Intrusion Detection Systems. - Aleksandra Pawlicka; Marek Pawlicki; Rafal Kozik; Michal Choras (ICDM (Workshops), 2023)

Explainable Artificial Intelligence 101: Techniques, Applications and Challenges. - Wiktor Kurek; Marek Pawlicki; Aleksandra Pawlicka; Rafal Kozik; Michal Choras (ICIC (4), 2023)

How Explainable Is Explainability? Towards Better Metrics for Explainable AI. - Aleksandra Pawlicka; Marek Pawlicki; Rafal Kozik; Wiktor Kurek; Michal Choras (RIIFORUM, 2023)

What Will the Future of Cybersecurity Bring Us, and Will It Be Ethical? The Hunt for the Black Swans of Cybersecurity Ethics. - Aleksandra Pawlicka; Marek Pawlicki; Rafal Kozik; Michal Choras (IEEE Access, 2023)

Has the pandemic made us more digitally literate?: Innovative association rule mining study of the relationships between shifts in digital skills and cybersecurity awareness occurring whilst working remotely during the COVID-19 pandemic. - Aleksandra Pawlicka; Renata Tomaszewska; Ewa Krause; Dagmara Jaroszewska-Choras; Marek Pawlicki; Michal Choras (J. Ambient Intell. Humaniz. Comput., 2023)

First broad and systematic horizon scanning campaign and study to detect societal and ethical dilemmas and emerging issues spanning over cybersecurity solutions. - Aleksandra Pawlicka; Michal Choras; Rafal Kozik; Marek Pawlicki (Pers. Ubiquitous Comput., 2023)

The survey and meta-analysis of the attacks, transgressions, countermeasures and security aspects common to the Cloud, Edge and IoT. - Marek Pawlicki; Aleksandra Pawlicka; Rafal Kozik; Michal Choras (Neurocomputing, 2023)

Deep Learning for Combating Misinformation in Multicategorical Text Contents. - Rafal Kozik; Wojciech Mazurczyk; Krzysztof Cabaj; Aleksandra Pawlicka; Marek Pawlicki; Michal Choras (Sensors, 2023)

Enhancing Network Security Through Granular Computing: A Clustering-by-Time Approach to NetFlow Traffic Analysis. - Mikolaj Komisarek; Marek Pawlicki; Salvatore D'Antonio; Rafal Kozik; Aleksandra Pawlicka; Michal Choras (ARES, 2024)

Introducing a Multi-Perspective xAI Tool for Better Model Explainability. - Marek Pawlicki; Damian Puchalski; Sebastian Szelest; Aleksandra Pawlicka; Rafal Kozik; Michal Choras (ARES, 2024)

ULTIMATE Project Toolkit for Robotic AI-Based Data Analysis and Visualization. - Rafal Kozik; Damian Puchalski; Aleksandra Pawlicka; Szymon Bus; Jakub Glówka; Krishna Chandramouli; Marco Tiemann; Marek Pawlicki; Rafal Renk; Michal Choras (ACIIDS (2), 2024)

When an Old Telecommunication Law Meets Generative AI: the Manifesto to Unbundle AI. - Aleksandra Pawlicka; Marek Pawlicki; Dagmara Jaroszewska-Choras; Damian Puchalski; Rafal Kozik; Michal Choras (IEEE Big Data, 2024)

ExpLEA-AIner: Proposition and Development of the Model-Driven Approach to Incorporating Explainable AI in Network Intrusion Detection Systems for Law Enforcement Agencies. - Marek Pawlicki; Aleksandra Pawlicka; Sebastian Szelest; Mikolaj Komisarek; Rafal Kozik; Michal Choras (EMCIS (2), 2024)

Proposition of a Novel Type of Attacks Targetting Explainable AI Algorithms in Cybersecurity. - Sebastian Szelest; Marek Pawlicki; Aleksandra Pawlicka; Rafal Kozik; Michal Choras (ESORICS Workshops (2), 2024)

Class-Based SHAP Analysis for Improved Explainability Insights in NIDS. - Marek Pawlicki; Aleksandra Pawlicka; Sebastian Szelest; Rafal Kozik; Michal Choras (ICAI (1), 2024)

The Evaluation of Adversarial Attacks Against ML-Powered NIDS in a Realistic Scenario. - Federica Uccello; Marek Pawlicki; Aleksandra Pawlicka; Salvatore D'Antonio; Rafal Kozik; Michal Choras (ICAI (1), 2024)

From Detection Through Display to Understanding: Bridging AI and UI in Disinformation and Fake News Analysis. - Rafal Kozik; Aleksandra Pawlicka; Marek Pawlicki; Michal Choras (ICCCI (CCIS Volume 1), 2024)

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 Choras; Ramon Martín de Pozuelo; Panagiotis G. Sarigiannidis; Damian Puchalski; Aleksandra Pawlicka; Rafal Kozik; Michal Choras (ICDM (Workshops), 2024)

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 (ICDM (Workshops), 2024)

Enhancing Clinical Trust: The Role of AI Explainability in Transforming Healthcare. - Aleksandra Pawlicka; Marek Pawlicki; Dagmara Jaroszewska-Choras; Rafal Kozik; Michal Choras (ICDM (Workshops), 2024)

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 (ICDM (Workshops), 2024)

Explainability versus Security: The Unintended Consequences of xAI in Cybersecurity. - Marek Pawlicki; Aleksandra Pawlicka; Rafal Kozik; Michal Choras (SecTL@AsiaCCS, 2024)

Towards explainable fake news detection and automated content credibility assessment: Polish internet and digital media use-case. - Rafal Kozik; Gracjan Katek; Marta Gackowska; Sebastian Kula; Joanna Komorniczak; Pawel Ksieniewicz; Aleksandra Pawlicka; Marek Pawlicki; Michal Choras (Neurocomputing, 2024)

Advanced insights through systematic analysis: Mapping future research directions and opportunities for xAI in deep learning and artificial intelligence used in cybersecurity. - Marek Pawlicki; Aleksandra Pawlicka; Rafal Kozik; Michal Choras (Neurocomputing, 2024)

Evaluating the necessity of the multiple metrics for assessing explainable AI: A critical examination. - Marek Pawlicki; Aleksandra Pawlicka; Federica Uccello; Sebastian Szelest; Salvatore D'Antonio; Rafal Kozik; Michal Choras (Neurocomputing, 2024)

AI vs linguistic-based human judgement: Bridging the gap in pursuit of truth for fake news detection. - Aleksandra Pawlicka; Marek Pawlicki; Rafal Kozik; Agnieszka Andrychowicz-Trojanowska; Michal Choras (Inf. Sci., 2024)

When explainability turns into a threat - using xAI to fool a fake news detection method. - Rafal Kozik; Massimo Ficco; Aleksandra Pawlicka; Marek Pawlicki; Francesco Palmieri 002; Michal Choras (Comput. Secur., 2024)

A Meta-Analysis of State-of-the-Art Automated Fake News Detection Methods. - Rafal Kozik; Aleksandra Pawlicka; Marek Pawlicki; Michal Choras; Wojciech Mazurczyk; Krzysztof Cabaj (IEEE Trans. Comput. Soc. Syst., 2024)

The survey on the dual nature of xAI challenges in intrusion detection and their potential for AI innovation. - Marek Pawlicki; Aleksandra Pawlicka; Rafal Kozik; Michal Choras (Artif. Intell. Rev., 2024)

Supporting Human-Robot Collaboration and Safety with the Proposed Explainable Neuro-Symbolic Reasoning. - Rafal Kozik; Aleksandra Pawlicka; Marek Pawlicki; Michal Choras (ARES (EU Projects Symposium Workshops 1), 2025)

Application of Selected Machine Learning Models in Leaf-Based Plant Health Assessment. - Jakub Filipek; Marek Pawlicki; Ryszard Choras; Rafal Kozik; Aleksandra Pawlicka; Michal Choras (AINA (6), 2025)

Evaluation of Selected Few-Shot Learning Methods in Network Intrusion Detection. - Eryk Winiecki; Marek Pawlicki; Aleksandra Pawlicka; Rafal Kozik; Michal Choras (AINA (6), 2025)

White Hats in Blue? The Ethical Issues of Employing Hackers in Law Enforcement Agencies. - Aleksandra Pawlicka; Marek Pawlicki; Rafal Kozik; Michal Choras (IT Prof., 2025)