Recent Granular Computing Implementations and its Feasibility in Cybersecurity Domain. - Marek Pawlicki; Michal Choras; Rafal Kozik (ARES, 2018)

Sparse Autoencoders for Unsupervised Netflow Data Classification. - Rafal Kozik; Marek Pawlicki; Michal Choras (IP&C, 2018)

Cost-Sensitive Distributed Machine Learning for NetFlow-Based Botnet Activity Detection. - Rafal Kozik; Marek Pawlicki; Michal Choras (Secur. Commun. Networks, 2018)

SocialTruth Project Approach to Online Disinformation (Fake News) Detection and Mitigation. - Michal Choras; Marek Pawlicki; Rafal Kozik; Konstantinos P. Demestichas; Pavlos Kosmides; Manik Gupta (ARES, 2019)

Software Development Metrics Prediction Using Time Series Methods. - Michal Choras; Rafal Kozik; Marek Pawlicki; Witold Holubowicz; Xavier Franch (CISIM, 2019)

Fault-Prone Software Classes Recognition via Artificial Neural Network with Granular Dataset Balancing. - Marek Pawlicki; Agata Gielczyk; Rafal Kozik; Michal Choras (CORES, 2019)

Recognizing Faults in Software Related Difficult Data. - Michal Choras; Marek Pawlicki; Rafal Kozik (ICCS (3), 2019)

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 Müller; Ernst-Josef Behmer; Ioannis V. Loumiotis; Konstantinos P. Demestichas; Roxana Horincar; Claire Laudy; David Faure (ICCCI (2), 2019)

Artificial Neural Network Hyperparameter Optimisation for Network Intrusion Detection. - Marek Pawlicki; Rafal Kozik; Michal Choras (ICIC (1), 2019)

The Feasibility of Deep Learning Use for Adversarial Model Extraction in the Cybersecurity Domain. - Michal Choras; Marek Pawlicki; Rafal Kozik (IDEAL (2), 2019)

Gated Recurrent Units for Intrusion Detection. - Marek Pawlicki; Adam Marchewka; Michal Choras; Rafal Kozik (IP&C, 2019)

Practical Employment of Granular Computing to Complex Application Layer Cyberattack Detection. - Rafal Kozik; Marek Pawlicki; Michal Choras; Witold Pedrycz (Complex., 2019)

Real-time stream processing tool for detecting suspicious network patterns using machine learning. - Mikolaj Komisarek; Michal Choras; Rafal Kozik; Marek Pawlicki (ARES, 2020)

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)

Hybrid Model for Improving the Classification Effectiveness of Network Intrusion Detection. - Vibekananda Dutta; Michal Choras; Rafal Kozik; Marek Pawlicki (CISIS, 2020)

Distributed Architecture for Fake News Detection. - Rafal Kozik; Michal Choras; Sebastian Kula; Marek Pawlicki (CISIS, 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)

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 (ICCS (4), 2020)

On the Impact of Network Data Balancing in Cybersecurity Applications. - Marek Pawlicki; Michal Choras; Rafal Kozik; Witold Holubowicz (ICCS (4), 2020)

Achieving Explainability of Intrusion Detection System by Hybrid Oracle-Explainer Approach. - Mateusz Szczepanski; Michal Choras; Marek Pawlicki; Rafal Kozik (IJCNN, 2020)

Defending network intrusion detection systems against adversarial evasion attacks. - Marek Pawlicki; Michal Choras; Rafal Kozik (Future Gener. Comput. Syst., 2020)

Detection of Cyberattacks Traces in IoT Data. - Vibekananda Dutta; Michal Choras; Marek Pawlicki; Rafal Kozik (J. Univers. Comput. Sci., 2020)

A Deep Learning Ensemble for Network Anomaly and Cyber-Attack Detection. - Vibekananda Dutta; Michal Choras; Marek Pawlicki; Rafal Kozik (Sensors, 2020)

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

Common Representational Model and Ontologies for Effective Law Enforcement Solutions. - Rafal Kozik; Michal Choras; Marek Pawlicki; Witold Holubowicz; Dirk Pallmer; Wilmuth Müller; Ernst-Josef Behmer; Ioannis V. Loumiotis; Konstantinos P. Demestichas; Roxana Horincar; Claire Laudy; David Faure (Vietnam. J. Comput. Sci., 2020)

Network Intrusion Detection in the Wild - the Orange use case in the SIMARGL project. - Mikolaj Komisarek; Marek Pawlicki; Mikolaj Kowalski; Adrian Marzecki; Rafal Kozik; Michal Choras (ARES, 2021)

Missing and Incomplete Data Handling in Cybersecurity Applications. - Marek Pawlicki; Michal Choras; Rafal Kozik; Witold Holubowicz (ACIIDS, 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)

Cyber-Attack Detection from IoT Benchmark Considered as Data Streams. - Pawel Zyblewski; Marek Pawlicki; Rafal Kozik; 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 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 (ICCCI (CCIS Volume), 2021)

Towards AI-Based Reaction and Mitigation for e-Commerce - the ENSURESEC Engine. - Marek Pawlicki; Rafal Kozik; Damian Puchalski; Michal Choras (ICIC (3), 2021)

Tight Arms Race: Overview of Current Malware Threats and Trends in Their Detection. - Luca Caviglione; Michal Choras; Igino Corona; Artur Janicki; Wojciech Mazurczyk; Marek Pawlicki; Katarzyna Wasielewska (IEEE Access, 2021)

How to Effectively Collect and Process Network Data for Intrusion Detection? - Mikolaj Komisarek; Marek Pawlicki; Rafal Kozik; Witold Holubowicz; Michal Choras (Entropy, 2021)

Preprocessing Pipelines including Block-Matching Convolutional Neural Network for Image Denoising to Robustify Deep Reidentification against Evasion Attacks. - Marek Pawlicki; Ryszard S. Choras (Entropy, 2021)

Intrusion detection approach based on optimised artificial neural network. - Michal Choras; Marek Pawlicki (Neurocomputing, 2021)

Machine Learning Based Approach to Anomaly and Cyberattack Detection in Streamed Network Traffic Data. - Mikolaj Komisarek; Marek Pawlicki; Rafal Kozik; Michal Choras (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2021)

A new method of hybrid time window embedding with transformer-based traffic data classification in IoT-networked environment. - Rafal Kozik; Marek Pawlicki; Michal Choras (Pattern Anal. Appl., 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)

The Proposition and Evaluation of the RoEduNet-SIMARGL2021 Network Intrusion Detection Dataset. - Maria-Elena Mihailescu; Darius Mihai; Mihai Carabas; Mikolaj Komisarek; Marek Pawlicki; Witold Holubowicz; Rafal Kozik (Sensors, 2021)

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

A novel, refined dataset for real-time Network Intrusion Detection. - Mikolaj Komisarek; Marek Pawlicki; Maria-Elena Mihailescu; Darius Mihai; Mihai Carabas; Rafal Kozik; Michal Choras (ARES, 2022)

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)

Towards Deployment Shift Inhibition Through Transfer Learning in Network Intrusion Detection. - Marek Pawlicki; Rafal Kozik; Michal Choras (ARES, 2022)

Fast Hybrid Oracle-Explainer Approach to Explainability Using Optimized Search of Comprehensible Decision Trees. - Mateusz Szczepanski; Marek Pawlicki; Rafal Kozik; Michal Choras (DSAA, 2022)

Comparison of neural network paradigms for their usefulness in a real-world network intrusion detection deployment and a proposed optimised approach. - Marek Pawlicki; Rafal Kozik; Michal Choras (EICC, 2022)

Analysis and Detection of DDoS Backscatter Using NetFlow Data, Hyperband-Optimised Deep Learning and Explainability Techniques. - Marek Pawlicki; Martin Zádník; Rafal Kozik; Michal Choras (ICAISC (1), 2022)

Efficient Post Event Analysis and Cyber Incident Response in IoT and E-commerce Through Innovative Graphs and Cyberthreat Intelligence Employment. - Rafal Kozik; Marek Pawlicki; Mateusz Szczepanski; Rafal Renk; Michal Choras (ICIC (3), 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)

Parameters Transfer Framework for Multi-domain Fake News Detection. - Rafal Kozik; Krzysztof Samp; Michal Choras; Marek Pawlicki (MobiSec, 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)

Unsupervised network traffic anomaly detection with deep autoencoders. - Vibekananda Dutta; Marek Pawlicki; Rafal Kozik; Michal Choras (Log. J. IGPL, 2022)

Fake news detection platform - conceptual architecture and prototype. - Rafal Kozik; Marek Pawlicki; Sebastian Kula; Michal Choras (Log. J. IGPL, 2022)

A survey on neural networks for (cyber-) security and (cyber-) security of neural networks. - Marek Pawlicki; Rafal Kozik; Michal Choras (Neurocomputing, 2022)

Hunting cyberattacks: experience from the real backbone network. - Mikolaj Komisarek; Marek Pawlicki; Mikolaj Kowalski; Adrian Marzecki; Rafal Kozik; Michal Choras (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2022)

Sensors and Pattern Recognition Methods for Security and Industrial Applications. - Michal Choras; Rafal Kozik; Marek Pawlicki (Sensors, 2022)

Modern NetFlow network dataset with labeled attacks and detection methods. - Mikolaj Komisarek; Marek Pawlicki; Tomi Simic; David Kavcnik; Rafal Kozik; Michal Choras (ARES, 2023)

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)

Towards Quality Measures for xAI algorithms: Explanation Stability. - Marek Pawlicki (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)

Effective Rules for a Rule-Based SIEM System in Detecting DoS Attacks: An Association Rule Mining Approach. - Federica Uccello; Marek Pawlicki; Salvatore D'Antonio; Rafal Kozik; Michal Choras (ICAI (2), 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)

Improving Siamese Neural Networks with Border Extraction Sampling for the use in Real-Time Network Intrusion Detection. - Marek Pawlicki; Rafal Kozik; Michal Choras (IJCNN, 2023)

Strengths And Weaknesses of Deep, Convolutional and Recurrent Neural Networks in Network Intrusion Detection Deployments. - Marek Pawlicki (ISD, 2023)

The Impact of Data Scaling Approaches on Deep Learning, Random Forest and Nearest Neighbour-Based Network Intrusion Detection Systems for DoS Detection in IoT Networks. - Marek Pawlicki; Rafal Kozik; Michal Choras (MobiSec, 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)

The Application of Deep Learning Imputation and Other Advanced Methods for Handling Missing Values in Network Intrusion Detection. - Mateusz Szczepanski; Marek Pawlicki; Rafal Kozik; Michal Choras (Vietnam. J. Comput. Sci., 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)

Trustworthy AI-based Cyber-Attack Detector for Network Cyber Crime Forensics. - Damian Puchalski; Marek Pawlicki; Rafal Kozik; Rafal Renk; Michal Choras (ARES, 2024)

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 (ACIIDS (2), 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)

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 (ACIIDS (1), 2024)

Towards Hybrid NIDS: Combining Rule-Based SIEM with AI-Based Intrusion Detectors. - Federica Uccello; Marek Pawlicki; Salvatore D'Antonio; Rafal Kozik; Michal Choras (ACR, 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)

An Innovative Approach to Real-Time Concept Drift Detection in Network Security. - Federica Uccello; Marek Pawlicki; Salvatore D'Antonio; Rafal Kozik; Michal Choras (EIDWT, 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)

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 (ESORICS Workshops (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)

Comparative Analysis of AI-Based Methods for Enhancing Cybersecurity Monitoring Systems. - Federica Uccello; Marek Pawlicki; Salvatore D'Antonio; Rafal Kozik; Michal Choras (ICCSA (Workshops 2), 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)

ARIA, HaRIA, and GeRIA: Novel Metrics for Pre-Model Interpretability. - Marek Pawlicki (IEEE Access, 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)

SHAP Insights into Domain Adaptation in Netflow-Based Network Intrusion Detection Powered by Deep Learning. - Marek Pawlicki; Sebastian Szelest; Rafal Kozik; Michal Choras (ARES (EU Projects Symposium Workshops 2), 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)

In depth analysis for securing the truth: Addressing the fake news challenge with graph neural networks. - Gracjan Katek; Rafal Kozik; Aleksandra Pawlicka; Marek Pawlicki; Michal Choras (Neurocomputing, 2025)

A meta-survey of adversarial attacks against artificial intelligence algorithms, including diffusion models. - Marek Pawlicki; Aleksandra Pawlicka; Rafal Kozik; Michal Choras (Neurocomputing, 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)