Computer Visual System Analyzing the Influence of Stimulants on Human Motion. - Ryszard S. Choras; Michal Choras (AMDO, 2002)

Ear Biometrics Based on Geometrical Method of Feature Extraction. - Michal Choras (AMDO, 2004)

Human Ear Identification Based on Image Analysis. - Michal Choras (ICAISC, 2004)

Content Based Image Retrieval Technique. - Ryszard S. Choras; Tomasz Andrysiak; Michal Choras (CORES, 2005)

Image Filtration and Feature Extraction for Face Recognition. - Tomasz Andrysiak; Michal Choras (Biometrics, Computer Security Systems and Artificial Intelligence Applications, 2006)

Further Developments in Geometrical Algorithms for Ear Biometrics. - Michal Choras (AMDO, 2006)

Symmetry-Based Salient Points Detection in Face Images. - Michal Choras; Tomasz Andrysiak (ICAISC, 2006)

Stereo disparity estimation using discrete orthogonal moments. - Tomasz Andrysiak; Michal Choras (ICINCO-RA, 2006)

Geometrical Algorithms of Ear Contour Shape Representation and Feature Extraction. - Michal Choras; Ryszard S. Choras (ISDA (2), 2006)

Hand Shape Geometry and Palmprint Features for the Personal Identification. - Ryszard S. Choras; Michal Choras (ISDA (2), 2006)

Ear Biometrics in Passive Human Identification Systems. - Michal Choras (PRIS, 2006)

Image Pre-classification for Biometrics Identification Systems. - Michal Choras (Advances in Information Processing and Protection, 2007)

Image Feature Extraction Methods for Ear Biometrics–A Survey. - Michal Choras (CISIM, 2007)

Recognizing Individual Typing Patterns. - Michal Choras; Piotr Mroczkowski (IbPRIA (2), 2007)

Multimodal Hand-Palm Biometrics. - Ryszard S. Choras; Michal Choras (ICANNGA (2), 2007)

Keystroke Dynamics for Biometrics Identification. - Michal Choras; Piotr Mroczkowski (ICANNGA (2), 2007)

Intelligent Computing for Automated Biometrics, Criminal and Forensic Applications. - Michal Choras (ICIC (1), 2007)

Web Security Enhancement based on Keystroke Dynamics. - Michal Choras; Piotr Mroczkowski (WEBIST (1), 2007)

Integrated color, texture and shape information for content-based image retrieval. - Ryszard S. Choras; Tomasz Andrysiak; Michal Choras (Pattern Anal. Appl., 2007)

Palmprint Recognition Enhanced by the Shape Features. - Rafal Kozik; Aleksandra Zelek; Michal Choras (CISIM, 2008)

Human Lips as Emerging Biometrics Modality. - Michal Choras (ICIAR, 2008)

A Novel Shape-Texture Approach to Palmprint Detection and Identification. - Michal Choras; Rafal Kozik; Aleksandra Zelek (ISDA (3), 2008)

Human Lips Recognition. - Michal Choras (Computer Recognition Systems 2, 2008)

Decision Aid Tool and Ontology-Based Reasoning for Critical Infrastructure Vulnerabilities and Threats Analysis. - Michal Choras; Adam Flizikowski; Rafal Kozik; Witold Holubowicz (CRITIS, 2009)

A Novel Signal-Based Approach to Anomaly Detection in IDS Systems. - Lukasz Saganowski; Michal Choras; Rafal Renk; Witold Holubowicz (ICANNGA, 2009)

Lips Recognition for Biometrics. - Michal Choras (ICB, 2009)

Ontology-Based Decision Support for Security Management in Heterogeneous Networks. - Michal Choras; Rafal Kozik; Adam Flizikowski; Rafal Renk; Witold Holubowicz (ICIC (2), 2009)

Ear Biometrics. - Michal Choras (Encyclopedia of Biometrics, 2009)

Recognizing Anomalies/Intrusions in Heterogeneous Networks. - Michal Choras; Lukasz Saganowski; Rafal Renk; Rafal Kozik; Witold Holubowicz (Computer Recognition Systems 3, 2009)

Digital Analysis of 2D Code Images Based on Radon Transform. - Rafal Tarlowski; Michal Choras (Computer Recognition Systems 3, 2009)

Ear Biometrics Based on Geometrical Feature Extraction. - Michal Choras (Progress in Computer Vision and Image Analysis, 2009)

Image Recognition Techniques Applied to Automated and Objective QoE Assessment of Mobile WWW Services. - Michal Choras; Adam Flizikowski; Rafal Kozik; Witold Holubowicz (ICCVG (1), 2010)

Feature Extraction Method for Contactless Palmprint Biometrics. - Michal Choras; Rafal Kozik (ICIC (3), 2010)

Ontology Applied in Decision Support System for Critical Infrastructures Protection. - Michal Choras; Rafal Kozik; Adam Flizikowski; Witold Holubowicz (IEA/AIE (1), 2010)

Knuckle Biometrics for Human Identification. - Michal Choras; Rafal Kozik (IP&C, 2010)

Performance Evaluation of ADS System Based on Redundant Dictionary. - Rafal Renk; Lukasz Saganowski; Michal Choras; Witold Holubowicz (IP&C, 2010)

Fusion of Bayesian and Ontology Approach Applied to Decision Support System for Critical Infrastructures Protection. - Rafal Kozik; Michal Choras; Witold Holubowicz (MOBILIGHT, 2010)

Intersection Approach to Vulnerability Handling. - Michal Choras; Salvatore D'Antonio; Rafal Kozik; Witold Holubowicz (WEBIST (1), 2010)

The lip as a biometric. - Michal Choras (Pattern Anal. Appl., 2010)

Network Event Correlation and Semantic Reasoning for Federated Networks Protection System. - Michal Choras; Rafal Kozik (CISIM, 2011)

Fast Feature Extractors for Palmprint Biometrics. - Michal Choras; Rafal Kozik (CISIM, 2011)

Innovative Man Machine Interfaces and Solutions to Support Totally Blind People. - Michal Choras; Salvatore D'Antonio; Giulio Iannello; Andreas Jedlitschka; Rafal Kozik; Klaus Miesenberger; Adam Woloszczuk (IP&C, 2011)

Network Events Correlation for Federated Networks Protection System. - Michal Choras; Rafal Kozik; Rafal Piotrowski; Juliusz Brzostek; Witold Holubowicz (ServiceWave, 2011)

Knuckle Recognition for Human Identification. - Michal Choras; Rafal Kozik (Computer Recognition Systems 4, 2011)

DDoS Attacks Detection by Means of Greedy Algorithms. - Tomasz Andrysiak; Lukasz Saganowski; Michal Choras (IP&C, 2012)

Online Social Networks: Emerging Security and Safety Applications. - Michal Choras; Marco Manso; Damian Puchalski; Rafal Kozik; Krzysztof Samp (IP&C, 2012)

A Concept of Unobtrusive Method for Complementary Emotive User Profiling and Personalization for IPTV Platforms. - Adam Flizikowski; Mateusz Majewski; Damian Puchalski; Hassnaa Moustafa; Michal Choras (IP&C, 2012)

Greedy Algorithms for Network Anomaly Detection. - Tomasz Andrysiak; Lukasz Saganowski; Michal Choras (CISIS/ICEUTE/SOCO Special Sessions, 2012)

Correlation Approach for SQL Injection Attacks Detection. - Michal Choras; Rafal Kozik; Damian Puchalski; Witold Holubowicz (CISIS/ICEUTE/SOCO Special Sessions, 2012)

Information Exchange Mechanism between Federated Domains: P2P Approach. - Michal Choras; Rafal Kozik; Rafal Renk; Witold Holubowicz (CISIS/ICEUTE/SOCO Special Sessions, 2012)

The human role in tools for improving robustness and resilience of critical infrastructures. - Aladino Amantini; Michal Choras; Salvatore D'Antonio; Elyoenai Egozcue; Daniel Germanus; Reinhard Hutter (Cogn. Technol. Work., 2012)

Statistical and signal-based network traffic recognition for anomaly detection. - Michal Choras; Lukasz Saganowski; Rafal Renk; Witold Holubowicz (Expert Syst. J. Knowl. Eng., 2012)

Contactless palmprint and knuckle biometrics for mobile devices. - Michal Choras; Rafal Kozik (Pattern Anal. Appl., 2012)

A Short Overview of Feature Extractors for Knuckle Biometrics. - Michal Choras (CORES, 2013)

Evaluation of Various Techniques for SQL Injection Attack Detection. - Michal Choras; Rafal Kozik (CORES, 2013)

Machine Learning Techniques for Cyber Attacks Detection. - Rafal Kozik; Michal Choras (IP&C, 2013)

Comprehensive Approach to Information Sharing for increased Network Security and Survivability. - Michal Choras (Cybern. Syst., 2013)

A Proposal of Algorithm for Web Applications Cyber Attack Detection. - Rafal Kozik; Michal Choras; Rafal Renk; Witold Holubowicz (CISIM, 2014)

Hardening Web Applications against SQL Injection Attacks Using Anomaly Detection Approach. - Rafal Kozik; Michal Choras; Witold Holubowicz (IP&C, 2014)

Network Traffic Prediction and Anomaly Detection Based on ARFIMA Model. - Tomasz Andrysiak; Lukasz Saganowski; Michal Choras; Rafal Kozik (SOCO-CISIS-ICEUTE, 2014)

Modelling HTTP Requests with Regular Expressions for Detection of Cyber Attacks Targeted at Web Applications. - Rafal Kozik; Michal Choras; Rafal Renk; Witold Holubowicz (SOCO-CISIS-ICEUTE, 2014)

End-users needs and requirements for tools to support critical infrastructures protection. - Michal Choras; Rafal Kozik; Rafal Renk; Witold Holubowicz (CoRR, 2014)

Adapting an Ensemble of One-Class Classifiers for a Web-Layer Anomaly Detection System. - Rafal Kozik; Michal Choras (3PGCIC, 2015)

Comprehensive Approach to Increase Cyber Security and Resilience. - Michal Choras; Rafal Kozik; Maria Pilar Torres Bruna; Artsiom Yautsiukhin; Andrew Churchill; Iwona Maciejewska; Irene Eguinoa; Adel Jomni (ARES, 2015)

A Practical Framework and Guidelines to Enhance Cyber Security and Privacy. - Michal Choras; Rafal Kozik; Rafal Renk; Witold Holubowicz (CISIS-ICEUTE, 2015)

Patterns Extraction Method for Anomaly Detection in HTTP Traffic. - Rafal Kozik; Michal Choras; Rafal Renk; Witold Holubowicz (CISIS-ICEUTE, 2015)

Semi-unsupervised Machine Learning for Anomaly Detection in HTTP Traffic. - Rafal Kozik; Michal Choras; Rafal Renk; Witold Holubowicz (CORES, 2015)

Privacy-Preserving Biometric Authentication and Matching via Lattice-Based Encryption. - Constantinos Patsakis; Jeroen van Rest; Michal Choras; Mélanie Bouroche (DPM/QASA@ESORICS, 2015)

Local Statistic Embedding for Malware Behaviour Modelling. - Rafal Kozik; Michal Choras (IP&C, 2015)

Machine learning techniques applied to detect cyber attacks on web applications. - Michal Choras; Rafal Kozik (Log. J. IGPL, 2015)

Advanced services for critical infrastructures protection. - Rafal Kozik; Michal Choras; Adam Flizikowski; Marianthi Theocharidou; Vittorio Rosato; Erich Rome (J. Ambient Intell. Humaniz. Comput., 2015)

Ear Biometrics. - Michal Choras (Encyclopedia of Biometrics, 2015)

Finger Knuckle Print Identification with Hierarchical Model of Local Gradient Features. - Rafal Kozik; Michal Choras (New Trends in Intelligent Information and Database Systems, 2015)

Cyber Security of the Application Layer of Mission Critical Industrial Systems. - Rafal Kozik; Michal Choras; Rafal Renk; Witold Holubowicz (CISIM, 2016)

Solution to Data Imbalance Problem in Application Layer Anomaly Detection Systems. - Rafal Kozik; Michal Choras (HAIS, 2016)

Extreme Learning Machines for Web Layer Anomaly Detection. - Rafal Kozik; Michal Choras; Witold Holubowicz; Rafal Renk (IP&C, 2016)

Considering Service Name Indication for Multi-tenancy Routing in Cloud Environments. - Sebastian Laskawiec; Michal Choras (IP&C, 2016)

Application "Pomoc" - Emergency Calls with Geo-location. - Marcin Przybyszewski; Anna Stachowicz; Tomasz Olejniczak; Michal Choras; Jan Zych (ISCRAM, 2016)

The HTTP Content Segmentation Method Combined with AdaBoost Classifier for Web-Layer Anomaly Detection System. - Rafal Kozik; Michal Choras (SOCO-CISIS-ICEUTE, 2016)

Proposal and comparison of network anomaly detection based on long-memory statistical models. - Tomasz Andrysiak; Lukasz Saganowski; Michal Choras; Rafal Kozik (Log. J. IGPL, 2016)

Evolutionary-based packets classification for anomaly detection in web layer. - Rafal Kozik; Michal Choras; Witold Holubowicz (Secur. Commun. Networks, 2016)

DWT-based anomaly detection method for cyber security of wireless sensor networks. - Lukasz Saganowski; Tomasz Andrysiak; Rafal Kozik; Michal Choras (Secur. Commun. Networks, 2016)

Concept Drift Analysis for Improving Anomaly Detection Systems in Cybersecurity. - Michal Choras; Michal Wozniak 001 (CECC, 2017)

Netflow-Based Malware Detection and Data Visualisation System. - Rafal Kozik; Robert Mlodzikowski; Michal Choras (CISIM, 2017)

Recent Advances in Image Pre-processing Methods for Palmprint Biometrics. - Agata Wojciechowska; Michal Choras; Rafal Kozik (CORES, 2017)

The Concept of Applying Lifelong Learning Paradigm to Cybersecurity. - Michal Choras; Rafal Kozik; Rafal Renk; Witold Holubowicz (ICIC (3), 2017)

Running Sports Decision Aid Tool Based on Reinforcement Learning Approach. - Rafal Kozik; Joanna Morzynska; Michal Choras (IP&C, 2017)

Evaluation of the Pre-processing Methods in Image-Based Palmprint Biometrics. - Agata Wojciechowska; Michal Choras; Rafal Kozik (IP&C, 2017)

Packets tokenization methods for web layer cyber security. - Rafal Kozik; Michal Choras; Witold Holubowicz (Log. J. IGPL, 2017)

Simulation platform for cyber-security and vulnerability analysis of critical infrastructures. - Massimo Ficco; Michal Choras; Rafal Kozik (J. Comput. Sci., 2017)

5G Communications: Energy Efficiency. - Konstantinos P. Demestichas; Evgenia F. Adamopoulou; Michal Choras (Mob. Inf. Syst., 2017)

Pattern Extraction Algorithm for NetFlow-Based Botnet Activities Detection. - Rafal Kozik; Michal Choras (Secur. Commun. Networks, 2017)

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

Q-Rapids Tool Prototype: Supporting Decision-Makers in Managing Quality in Rapid Software Development. - Lidia López; Silverio Martínez-Fernández; Cristina Gómez 001; Michal Choras; Rafal Kozik; Liliana Guzmán; Anna Maria Vollmer; Xavier Franch; Andreas Jedlitschka (CAiSE Forum, 2018)

Pattern Recognition Solutions for Fake News Detection. - Michal Choras; Agata Gielczyk; Konstantinos P. Demestichas; Damian Puchalski; Rafal Kozik (CISIM, 2018)

Platform for Software Quality and Dependability Data Analysis. - Rafal Kozik; Michal Choras; Damian Puchalski; Rafal Renk (DepCoS-RELCOMEX, 2018)

Hybrid Feature Extraction for Palmprint-Based User Authentication. - Agata Gielczyk; Michal Choras; Rafal Kozik (HPCS, 2018)

Ten Years of Image Processing and Communications. - Ryszard S. Choras; Agata Gielczyk; Michal Choras (IP&C, 2018)

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

Switching Network Protocols to Improve Communication Performance in Public Clouds. - Sebastian Laskawiec; Michal Choras; Rafal Kozik (IP&C, 2018)

The Is-IT-ethical? Responsible Research and Innovation for Disaster Risk Management. - Monika Büscher; Catherine Easton; Xaroula Charalampia Kerasidou; Maria Alejandra Lujan Escalante; Hayley Alter; Katrina Petersen; Marie-Christine Bonnamour; David Lund; Andreas Baur; Regina Ammicht Quinn; Jessica Heesen; Lina Jasmontaite; et al. (ISCRAM, 2018)

A scalable distributed machine learning approach for attack detection in edge computing environments. - Rafal Kozik; Michal Choras; Massimo Ficco; Francesco Palmieri 002 (J. Parallel Distributed Comput., 2018)

Advanced Analysis of Data Streams for Critical Infrastructures Protection and Cybersecurity. - Barbara Bobowska; Michal Choras; Michal Wozniak 001 (J. Univers. Comput. Sci., 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)

Binary Code for the Compact Palmprint Representation Using Texture Features. - Agata Gielczyk; Gian Luca Marcialis; Michal Choras (CAIP (2), 2019)

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

Evaluation of the Existing Tools for Fake News Detection. - Agata Gielczyk; Rafal Wawrzyniak; Michal Choras (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)

Machine Learning Methods for Fake News Classification. - Pawel Ksieniewicz; Michal Choras; Rafal Kozik; Michal Wozniak 001 (IDEAL (2), 2019)

The mobile palmprint-based verification based on three-value masks. - Agata Gielczyk; Michal Choras; Rafal Kozik (HPCS, 2019)

Towards Mobile Palmprint Biometric System with the New Palmprint Database. - Agata Gielczyk; Karolina Dembinska; Michal Choras; Rafal Kozik (IP&C, 2019)

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

Data-Driven Elicitation of Quality Requirements in Agile Companies. - Marc Oriol; Pertti Seppänen; Woubshet Behutiye; Carles Farré; Rafal Kozik; Silverio Martínez-Fernández; Pilar Rodríguez 002; Xavier Franch; Sanja Aaramaa; Antonin Abhervé; Michal Choras; Jari Partanen (QUATIC, 2019)

Continuously Assessing and Improving Software Quality With Software Analytics Tools: A Case Study. - Silverio Martínez-Fernández; Anna Maria Vollmer; Andreas Jedlitschka; Xavier Franch; Lidia López; Prabhat Ram; Pilar Rodríguez 002; Sanja Aaramaa; Alessandra Bagnato; Michal Choras; Jari Partanen (IEEE Access, 2019)

New solutions for exposing clustered applications deployed in the cloud. - Sebastian Laskawiec; Michal Choras; Rafal Kozik (Clust. Comput., 2019)

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

Increasing product owners' cognition and decision-making capabilities by data analysis approach. - Michal Choras; Rafal Kozik; Damian Puchalski; Rafal Renk (Cogn. Technol. Work., 2019)

Protecting the application layer in the public domain with machine learning methods. - Rafal Kozik; Michal Choras (Log. J. IGPL, 2019)

Q-Rapids framework for advanced data analysis to improve rapid software development. - Rafal Kozik; Michal Choras; Damian Puchalski; Rafal Renk (J. Ambient Intell. Humaniz. Comput., 2019)

Recent Advances, Emerging Methods and Applications of Pattern Recognition. - Jörg Keller 001; Manuel Graña; Rafal Kozik; Tomasz Andrysiak; Michal Choras (J. Univers. Comput. Sci., 2019)

Balanced Efficient Lifelong Learning (B-ELLA) for Cyber Attack Detection. - Rafal Kozik; Michal Choras; Jörg Keller 001 (J. Univers. Comput. Sci., 2019)

Lightweight Verification Schema for Image-Based Palmprint Biometric Systems. - Agata Gielczyk; Michal Choras; Rafal Kozik (Mob. Inf. Syst., 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)

Stegomalware detection through structural analysis of media files. - Damian Puchalski; Luca Caviglione; Rafal Kozik; Adrian Marzecki; Slawomir Krawczyk; Michal Choras (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)

Application of the BERT-Based Architecture in Fake News Detection. - Sebastian Kula; Michal Choras; Rafal Kozik (CISIS, 2020)

Actionable Software Metrics: An Industrial Perspective. - Prabhat Ram; Pilar Rodríguez 002; Markku Oivo; Silverio Martínez-Fernández; Alessandra Bagnato; Michal Choras; Rafal Kozik; Sanja Aaramaa; Milla Ahola (EASE, 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)

Sentiment Analysis for Fake News Detection by Means of Neural Networks. - Sebastian Kula; Michal Choras; Rafal Kozik; Pawel Ksieniewicz; Michal Wozniak 001 (ICCS (4), 2020)

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

Fake News Detection from Data Streams. - Pawel Ksieniewicz; Pawel Zyblewski; Michal Choras; Rafal Kozik; Agata Gielczyk; Michal Wozniak 001 (IJCNN, 2020)

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

An Empirical Investigation into Industrial Use of Software Metrics Programs. - Prabhat Ram; Pilar Rodríguez 002; Markku Oivo; Alessandra Bagnato; Antonin Abherve; Michal Choras; Rafal Kozik (PROFES, 2020)

Measuring and Improving Agile Processes in a Small-Size Software Development Company. - Michal Choras; Tomasz Springer; Rafal Kozik; Lidia López; Silverio Martínez-Fernández; Prabhat Ram; Pilar Rodríguez 002; Xavier Franch (IEEE Access, 2020)

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

Intelligent human-centred mobile authentication system based on palmprints. - Agata Gielczyk; Michal Choras (J. Intell. Fuzzy Syst., 2020)

Practical Applications of Data Analysis, Classification and Anomaly Detection. - Michal Choras; Salvatore D'Antonio; Jörg Keller 001; Rafal Kozik (J. Univers. Comput. Sci., 2020)

Progress in Features, Data, Patterns and Similarity Analysis. - Michal Choras; Salvatore D'Antonio; Jörg Keller 001; Rafal Kozik (J. Univers. Comput. Sci., 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)

Data-driven and tool-supported elicitation of quality requirements in agile companies. - Marc Oriol; Silverio Martínez-Fernández; Woubshet Behutiye; Carles Farré; Rafal Kozik; Pertti Seppänen; Anna Maria Vollmer; Pilar Rodríguez 002; Xavier Franch; Sanja Aaramaa; Antonin Abhervé; Michal Choras; et al. (Softw. Qual. J., 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)

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)

Cyber-Attack Detection from IoT Benchmark Considered as Data Streams. - Pawel Zyblewski; Marek Pawlicki; Rafal Kozik; Michal Choras (CORES/IP&C/ACS, 2021)

Transformer Based Models in Fake News Detection. - Sebastian Kula; Rafal Kozik; Michal Choras; Michal Wozniak 001 (ICCS (4), 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)

Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study. - Michal Choras; Konstantinos P. Demestichas; Agata Gielczyk; Álvaro Herrero 001; Pawel Ksieniewicz; Konstantina Remoundou; Daniel Urda; Michal Wozniak 001 (Appl. Soft Comput., 2021)

Editorial: Applying Machine Learning for Combating Fake News and Internet/Media Content Manipulation. - Michal Choras; Konstantinos P. Demestichas; Álvaro Herrero 001; Michal Wozniak 001 (Appl. Soft Comput., 2021)

Who Will Score? A Machine Learning Approach to Supporting Football Team Building and Transfers. - Bartosz Cwiklinski; Agata Gielczyk; Michal Choras (Entropy, 2021)

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

Strategies to manage quality requirements in agile software development: a multiple case study. - Pertti Karhapää; Woubshet Behutiye; Pilar Rodríguez 002; Markku Oivo; Dolors Costal; Xavier Franch; Sanja Aaramaa; Michal Choras; Jari Partanen; Antonin Abherve (Empir. Softw. Eng., 2021)

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

Intelligent operator: Machine learning based decision support and explainer for human operators and service providers in the fog, cloud and edge networks. - Sebastian Laskawiec; Michal Choras; Rafal Kozik; Vijayakumar Varadarajan 001 (J. Inf. Secur. Appl., 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)

Multimedia analysis platform for crime prevention and investigation. - Francisco J. Pérez; Victor Garrido; Alberto García; Marcelo Zambrano; Rafal Kozik; Michal Choras; Dirk Mühlenberg; Dirk Pallmer; Wilmuth Müller (Multim. Tools 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)

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)

The double-edged sword of AI: Ethical Adversarial Attacks to counter artificial intelligence for crime. - Michal Choras; Michal Wozniak 001 (AI Ethics, 2022)

Advances in Computer Recognition, Image Processing and Communications. - Michal Choras; Robert Burduk; Agata Gielczyk; Rafal Kozik; Tomasz Marciniak (Entropy, 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)

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)

Technical solution to counter potential crime: Text analysis to detect fake news and disinformation. - Rafal Kozik; Sebastian Kula; Michal Choras; Michal Wozniak 001 (J. Comput. Sci., 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)

Advances and Practical Applications of Deep and Shallow Machine Learning. - Michal Choras; Robert Burduk; Rafal Kozik; Jörg Keller 001 (J. Univers. Comput. Sci., 2022)

Implementation of the BERT-derived architectures to tackle disinformation challenges. - Sebastian Kula; Rafal Kozik; Michal Choras (Neural Comput. 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)

Security Architecture in the SILVANUS project. - Natan Orzechowski; Karol Rzepka; Przemyslaw Szary; Krzysztof Cabaj; Wojciech Mazurczyk; Helen C. Leligou; Marcin Przybyszewski; 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)

Analysis of Extractive Text Summarization Methods as a Binary Classification Problem. - Joanna Komorniczak; Szymon Wojciechowski; Jakub Klikowski; Rafal Kozik; Michal Choras (CISIS-ICEUTE, 2023)

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

Document Annotation Tool for News Content Analysis. - Marta Gackowska; Gracjan Katek; Mscislaw Srutek; Rafal Kozik; Michal Choras (CORES/IP&C, 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)

Privacy risk analysis and metrics in capturing and storing network traffic. - Michele Mastroianni; Francesco Palmieri 002; Massimo Ficco; Rafal Kozik; Michal Choras (CSCS, 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)

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)

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)

Alphabet Flatting as a variant of n-gram feature extraction method in ensemble classification of fake news. - Pawel Ksieniewicz; Pawel Zyblewski; Weronika Borek-Marciniec; Rafal Kozik; Michal Choras; Michal Wozniak 001 (Eng. Appl. Artif. Intell., 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)

Strategies to Use Harvesters in Trustworthy Fake News Detection Systems. - Krzysztof Cabaj; Marcin Kowalczyk; Marcin Gregorczyk; Michal Choras; Rafal Kozik; Wojciech Mazurczyk (ICCCI (CCIS Volume 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)

Evidence-Based Quality-Aware Agile Software Development Process: Design and Evaluation. - Pertti Karhapää; Woubshet Behutiye; Pertti Seppänen; Pilar Rodríguez 002; Markku Oivo; Xavier Franch; Silverio Martínez-Fernández; Lidia López; Michal Choras; Alessandra Bagnato; Sanja Aaramaa; Jari Partanen (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)

Proposition of IT Platform for Combating Wildfires with Decision Support System. - Krishna Chandramouli; Rafal Kozik; Marcin Przybyszewski; Dominika Grunwald; Michal Choras (ARES (EU Projects Symposium Workshops 2), 2025)

Countering Financial Cyber Crime: New Method for Subsequent Steps Analysis in Large Complex Graphs of Financial Transactions. - Rafal Kozik; Piotr Gocal; Michal Choras (ARES (Workshops 3), 2025)

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)