Marek Pawlicki

127 papers B 20Misc 4Journal 41Unranked 60
YearRankTypeTitle / Venue / Authors
2026 J jnl
Ensemble-based fake news and disinformation detection using crowdsourced dataset.
Log. J. IGPL
Gracjan Katek, Marta Gackowska-Katek, Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras, Ryszard S. Choras
2026 J jnl
Hybrid and trustworthy AI approach to anomaly detection in realistic human-robot collaboration scenarios.
Robotics Auton. Syst.
Rafal Kozik, Szymon Bus, Jakub Glówka, Aleksandra Pawlicka, Marek Pawlicki, Rafal Renk, Michal Choras
2026 — conf
Survey on Explainability-Weaponising Adversarial Attack Vectors against Deep Neural Networks and Artificial Intelligence.
ICAART (2)
Marek Pawlicki, Ryszard S. Choras, Rafal Kozik, Michal Choras
2025 J jnl
A New Cybersecurity Approach Enhanced by xAI-Derived Rules to Improve Network Intrusion Detection and SIEM.
Comput. Mater. Continua
Federica Uccello, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Michal Choras
2025 J jnl
A meta-survey of adversarial attacks against artificial intelligence algorithms, including diffusion models.
Neurocomputing
Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
2025 — conf
Application of Selected Machine Learning Models in Leaf-Based Plant Health Assessment.
AINA (6)
Jakub Filipek, Marek Pawlicki, Ryszard S. Choras, Rafal Kozik, Aleksandra Pawlicka, Michal Choras
2025 — ed.
Computer Security. ESORICS 2024 International Workshops - DPM, CBT, and CyberICPS, Bydgoszcz, Poland, September 16-20, 2024, Revised Selected Papers, Part I
ESORICS Workshops (1)
Joaquín García-Alfaro, Ken Barker, Guillermo Navarro-Arribas, Cristina Pérez-Solà, Sergi Delgado-Segura, Sokratis K. Katsikas, Frédéric Cuppens, Costas Lambrinoudakis, Nora Cuppens-Boulahia, Marek Pawlicki, Michal Choras
2025 — ed.
Computer Security. ESORICS 2024 International Workshops - SECAI, DisA, CPS4CIP, and SecAssure, Bydgoszcz, Poland, September 16-20, 2024, Revised Selected Papers, Part II
ESORICS Workshops (2)
Joaquín García-Alfaro, Harsha Kalutarage, Naoto Yanai, Rafal Kozik, Pawel Ksieniewicz, Michal Wozniak, Habtamu Abie, Silvio Ranise, Luca Verderame, Enrico Cambiaso, Rita Maria Ugarelli, Isabel Praça, Basel Katt, Sandeep Pirbhulal, Ankur Shukla, Marek Pawlicki, Michal Choras
2025 — conf
Evaluation of Selected Few-Shot Learning Methods in Network Intrusion Detection.
AINA (6)
Eryk Winiecki, Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
2025 — conf
Generative AI in Workplaces Worldwide: Emerging Ethical Risks and Mitigation Guidelines.
ICDM (Workshops)
Aleksandra Pawlicka, Renata Tomaszewska, Marek Pawlicki, Rafal Kozik, Michal Choras
2025 J jnl
In depth analysis for securing the truth: Addressing the fake news challenge with graph neural networks.
Neurocomputing
Gracjan Katek, Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
2025 — conf
SHAP Analyses in Feature-Based and Principal Component-Based Model.
ICDM (Workshops)
Sebastian Szelest, Marek Pawlicki, Ryszard S. Choras, Rafal Kozik, Michal Choras
2025 — conf
SHAP Insights into Domain Adaptation in Netflow-Based Network Intrusion Detection Powered by Deep Learning.
ARES (EU Projects Symposium Workshops 2)
Marek Pawlicki, Sebastian Szelest, Rafal Kozik, Michal Choras
2025 — conf
Supporting Human-Robot Collaboration and Safety with the Proposed Explainable Neuro-Symbolic Reasoning.
ARES (EU Projects Symposium Workshops 1)
Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
2025 — conf
Transparent and Trustworthy eXpainable AI (xAI) in Smart Human-Robot Collaboration Environment.
ESORICS Workshops (3)
Michal Choras, Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik
2025 J jnl
White Hats in Blue? The Ethical Issues of Employing Hackers in Law Enforcement Agencies.
IT Prof.
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Michal Choras
2024 J jnl
A Meta-Analysis of State-of-the-Art Automated Fake News Detection Methods.
IEEE Trans. Comput. Soc. Syst.
Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras, Wojciech Mazurczyk, Krzysztof Cabaj
2024 — conf
A Novel Approach to the Use of Explainability to Mine Network Intrusion Detection Rules.
ACIIDS (1)
Federica Uccello, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Michal Choras
2024 — conf
A Novel Method of Improving Intrusion Detection Systems Robustness Against Adversarial Attacks, Through Feature Omission and a Committee of Classifiers.
ESORICS Workshops (2)
Marek Pawlicki, Federica Uccello, Salvatore D'Antonio, Rafal Kozik, Michal Choras
2024 J jnl
AI vs linguistic-based human judgement: Bridging the gap in pursuit of truth for fake news detection.
Inf. Sci.
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Agnieszka Andrychowicz-Trojanowska, Michal Choras
2024 J jnl
ARIA, HaRIA, and GeRIA: Novel Metrics for Pre-Model Interpretability.
IEEE Access
Marek Pawlicki
2024 J jnl
Advanced insights through systematic analysis: Mapping future research directions and opportunities for xAI in deep learning and artificial intelligence used in cybersecurity.
Neurocomputing
Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
2024 — conf
An Innovative Approach to Real-Time Concept Drift Detection in Network Security.
EIDWT
Federica Uccello, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Michal Choras
2024 — conf
Class-Based SHAP Analysis for Improved Explainability Insights in NIDS.
ICAI (1)
Marek Pawlicki, Aleksandra Pawlicka, Sebastian Szelest, Rafal Kozik, Michal Choras
2024 — conf
Comparative Analysis of AI-Based Methods for Enhancing Cybersecurity Monitoring Systems.
ICCSA (Workshops 2)
Federica Uccello, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Michal Choras
2024 — conf
Enhancing Clinical Trust: The Role of AI Explainability in Transforming Healthcare.
ICDM (Workshops)
Aleksandra Pawlicka, Marek Pawlicki, Dagmara Jaroszewska-Choras, Rafal Kozik, Michal Choras
2024 B conf
Enhancing Network Security Through Granular Computing: A Clustering-by-Time Approach to NetFlow Traffic Analysis.
ARES
Mikolaj Komisarek, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Aleksandra Pawlicka, Michal Choras
2024 J jnl
Evaluating the necessity of the multiple metrics for assessing explainable AI: A critical examination.
Neurocomputing
Marek Pawlicki, Aleksandra Pawlicka, Federica Uccello, Sebastian Szelest, Salvatore D'Antonio, Rafal Kozik, Michal Choras
2024 — conf
ExpLEA-AIner: Proposition and Development of the Model-Driven Approach to Incorporating Explainable AI in Network Intrusion Detection Systems for Law Enforcement Agencies.
EMCIS (2)
Marek Pawlicki, Aleksandra Pawlicka, Sebastian Szelest, Mikolaj Komisarek, Rafal Kozik, Michal Choras
2024 — conf
Explainability versus Security: The Unintended Consequences of xAI in Cybersecurity.
SecTL@AsiaCCS
Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
2024 — conf
From Detection Through Display to Understanding: Bridging AI and UI in Disinformation and Fake News Analysis.
ICCCI (CCIS Volume 1)
Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
2024 B conf
Introducing a Multi-Perspective xAI Tool for Better Model Explainability.
ARES
Marek Pawlicki, Damian Puchalski, Sebastian Szelest, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
2024 — conf
Involving Society to Protect Society from Fake News and Disinformation: Crowdsourced Datasets and Text Reliability Assessment.
ACIIDS (2)
Gracjan Katek, Marta Gackowska, Joanna Komorniczak, Pawel Ksieniewicz, Rafal Kozik, Marek Pawlicki, Michal Choras
2024 — conf
Proposition of a Novel Type of Attacks Targetting Explainable AI Algorithms in Cybersecurity.
ESORICS Workshops (2)
Sebastian Szelest, Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
2024 — conf
Real-world Application Facilitating Trustworthy Human-Robot Collaboration with Innovative Explainable Neuro-symbolic Reasoning.
ICDM (Workshops)
Rafal Kozik, Szymon Bus, Grzegorz Gawdzik, Marek Pawlicki, Aleksandra Pawlicka, Michal Choras
2024 — conf
Semi-Supervised Learning Trumps Active Learning in Cold-Starting Netflow-Based AI Network Intrusion Detection Systems on Scarce and Difficult Data.
ICDM (Workshops)
Marek Pawlicki, Aleksandra Pawlicka, Ryszard S. Choras, Rafal Kozik, Michal Choras
2024 — conf
The Evaluation of Adversarial Attacks Against ML-Powered NIDS in a Realistic Scenario.
ICAI (1)
Federica Uccello, Marek Pawlicki, Aleksandra Pawlicka, Salvatore D'Antonio, Rafal Kozik, Michal Choras
2024 J jnl
The survey on the dual nature of xAI challenges in intrusion detection and their potential for AI innovation.
Artif. Intell. Rev.
Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
2024 — conf
Towards Hybrid NIDS: Combining Rule-Based SIEM with AI-Based Intrusion Detectors.
ACR
Federica Uccello, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Michal Choras
2024 — conf
Towards Transparent AI-Powered Cybersecurity in Financial Systems: The Deployment of Federated Learning and Explainable AI in the CaixaBank pilot.
ICDM (Workshops)
Aikaterini Karampasi, Panagiotis I. Radoglou-Grammatikis, Marek Pawlicki, Ryszard S. Choras, Ramon Martín de Pozuelo, Panagiotis G. Sarigiannidis, Damian Puchalski, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
2024 J jnl
Towards explainable fake news detection and automated content credibility assessment: Polish internet and digital media use-case.
Neurocomputing
Rafal Kozik, Gracjan Katek, Marta Gackowska, Sebastian Kula, Joanna Komorniczak, Pawel Ksieniewicz, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
2024 B conf
Trustworthy AI-based Cyber-Attack Detector for Network Cyber Crime Forensics.
ARES
Damian Puchalski, Marek Pawlicki, Rafal Kozik, Rafal Renk, Michal Choras
2024 — conf
ULTIMATE Project Toolkit for Robotic AI-Based Data Analysis and Visualization.
ACIIDS (2)
Rafal Kozik, Damian Puchalski, Aleksandra Pawlicka, Szymon Bus, Jakub Glówka, Krishna Chandramouli, Marco Tiemann, Marek Pawlicki, Rafal Renk, Michal Choras
2024 B conf
When an Old Telecommunication Law Meets Generative AI: the Manifesto to Unbundle AI.
IEEE Big Data
Aleksandra Pawlicka, Marek Pawlicki, Dagmara Jaroszewska-Choras, Damian Puchalski, Rafal Kozik, Michal Choras
2024 J jnl
When explainability turns into a threat - using xAI to fool a fake news detection method.
Comput. Secur.
Rafal Kozik, Massimo Ficco, Aleksandra Pawlicka, Marek Pawlicki, Francesco Palmieri, Michal Choras
2023 B conf
Combating Disinformation with Holistic Architecture, Neuro-symbolic AI and NLU Models.
DSAA
Rafal Kozik, Wojciech Mazurczyk, Krzysztof Cabaj, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
2023 J jnl
Deep Learning for Combating Misinformation in Multicategorical Text Contents.
Sensors
Rafal Kozik, Wojciech Mazurczyk, Krzysztof Cabaj, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
2023 — conf
Effective Rules for a Rule-Based SIEM System in Detecting DoS Attacks: An Association Rule Mining Approach.
ICAI (2)
Federica Uccello, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Michal Choras
2023 — conf
Explainable Artificial Intelligence 101: Techniques, Applications and Challenges.
ICIC (4)
Wiktor Kurek, Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
2023 J jnl
First broad and systematic horizon scanning campaign and study to detect societal and ethical dilemmas and emerging issues spanning over cybersecurity solutions.
Pers. Ubiquitous Comput.
Aleksandra Pawlicka, Michal Choras, Rafal Kozik, Marek Pawlicki
2023 J jnl
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.
J. Ambient Intell. Humaniz. Comput.
Aleksandra Pawlicka, Renata Tomaszewska, Ewa Krause, Dagmara Jaroszewska-Choras, Marek Pawlicki, Michal Choras
2023 — conf
How Explainable Is Explainability? Towards Better Metrics for Explainable AI.
RIIFORUM
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Wiktor Kurek, Michal Choras
2023 — conf
How to Boost Machine Learning Network Intrusion Detection Performance with Encoding Schemes.
CISIM
Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
2023 — conf
How to Navigate the Uncharted Waters of Cyberwar.
AMCIS
Michal Choras, Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik
2023 Misc conf
How to secure the IoT-based surveillance systems in an ELEGANT way.
CSR
Aleksandra Pawlicka, Damian Puchalski, Marek Pawlicki, Rafal Kozik, Michal Choras
2023 B conf
Improving Siamese Neural Networks with Border Extraction Sampling for the use in Real-Time Network Intrusion Detection.
IJCNN
Marek Pawlicki, Rafal Kozik, Michal Choras
2023 — conf
Interpreting Intrusions - The Role of Explainability in AI-Based Intrusion Detection Systems.
CORES/IP&C
Marek Pawlicki, Aleksandra Pawlicka, Mscislaw Srutek, Rafal Kozik, Michal Choras
2023 B conf
Model Stitching Algorithm for Fake News Detection Problem.
DSAA
Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
2023 B conf
Modern NetFlow network dataset with labeled attacks and detection methods.
ARES
Mikolaj Komisarek, Marek Pawlicki, Tomi Simic, David Kavcnik, Rafal Kozik, Michal Choras
2023 — conf
Not Only Security and Privacy: The Evolving Ethical and Legal Challenges of E-Commerce.
ESORICS Workshops (1)
Michal Choras, Aleksandra Pawlicka, Dagmara Jaroszewska-Choras, Marek Pawlicki
2023 — conf
SWAROG Project Approach to Fake News Detection Problem.
CISIS-ICEUTE
Rafal Kozik, Joanna Komorniczak, Pawel Ksieniewicz, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
2023 — conf
Strengths And Weaknesses of Deep, Convolutional and Recurrent Neural Networks in Network Intrusion Detection Deployments.
ISD
Marek Pawlicki
2023 J jnl
The Application of Deep Learning Imputation and Other Advanced Methods for Handling Missing Values in Network Intrusion Detection.
Vietnam. J. Comput. Sci.
Mateusz Szczepanski, Marek Pawlicki, Rafal Kozik, Michal Choras
2023 — conf
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.
MobiSec
Marek Pawlicki, Rafal Kozik, Michal Choras
2023 — conf
The Need for Practical Legal and Ethical Guidelines for Explainable AI-based Network Intrusion Detection Systems.
ICDM (Workshops)
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Michal Choras
2023 — conf
The Rise of AI-Powered Writing: How ChatGPT is Revolutionizing Scientific Communication for Better or for Worse.
ICAI (1)
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Michal Choras
2023 J jnl
The survey and meta-analysis of the attacks, transgressions, countermeasures and security aspects common to the Cloud, Edge and IoT.
Neurocomputing
Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
2023 B conf
Towards Quality Measures for xAI algorithms: Explanation Stability.
DSAA
Marek Pawlicki
2023 J jnl
What Will the Future of Cybersecurity Bring Us, and Will It Be Ethical? The Hunt for the Black Swans of Cybersecurity Ethics.
IEEE Access
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Michal Choras
2022 B conf
A novel, refined dataset for real-time Network Intrusion Detection.
ARES
Mikolaj Komisarek, Marek Pawlicki, Maria-Elena Mihailescu, Darius Mihai, Mihai Carabas, Rafal Kozik, Michal Choras
2022 J jnl
A survey on neural networks for (cyber-) security and (cyber-) security of neural networks.
Neurocomputing
Marek Pawlicki, Rafal Kozik, Michal Choras
2022 — conf
Analysis and Detection of DDoS Backscatter Using NetFlow Data, Hyperband-Optimised Deep Learning and Explainability Techniques.
ICAISC (1)
Marek Pawlicki, Martin Zádník, Rafal Kozik, Michal Choras
2022 — conf
Comparison of neural network paradigms for their usefulness in a real-world network intrusion detection deployment and a proposed optimised approach.
EICC
Marek Pawlicki, Rafal Kozik, Michal Choras
2022 — conf
Efficient Post Event Analysis and Cyber Incident Response in IoT and E-commerce Through Innovative Graphs and Cyberthreat Intelligence Employment.
ICIC (3)
Rafal Kozik, Marek Pawlicki, Mateusz Szczepanski, Rafal Renk, Michal Choras
2022 — conf
Fake News and Threats to IoT - The Crucial Aspects of Cyberspace in the Times of Cyberwar.
RIIFORUM
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Michal Choras
2022 J jnl
Fake news detection platform - conceptual architecture and prototype.
Log. J. IGPL
Rafal Kozik, Marek Pawlicki, Sebastian Kula, Michal Choras
2022 B conf
Fast Hybrid Oracle-Explainer Approach to Explainability Using Optimized Search of Comprehensible Decision Trees.
DSAA
Mateusz Szczepanski, Marek Pawlicki, Rafal Kozik, Michal Choras
2022 — conf
Graph Databases and E-commerce Cybersecurity - a Match Made in Heaven? The Innovative Technology to Enhance Cyberthreat Mitigation.
ISD
Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
2022 J jnl
Hunting cyberattacks: experience from the real backbone network.
J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl.
Mikolaj Komisarek, Marek Pawlicki, Mikolaj Kowalski, Adrian Marzecki, Rafal Kozik, Michal Choras
2022 — conf
Parameters Transfer Framework for Multi-domain Fake News Detection.
MobiSec
Rafal Kozik, Krzysztof Samp, Michal Choras, Marek Pawlicki
2022 J jnl
Sensors and Pattern Recognition Methods for Security and Industrial Applications.
Sensors
Michal Choras, Rafal Kozik, Marek Pawlicki
2022 — conf
The IoT Threat Landscape vs. Machine Learning, a.k.a. Who Attacks IoT, Why Do They Do It, and How to Prevent It?
ISD
Marek Pawlicki, Aleksandra Pawlicka, Mikolaj Komisarek, Rafal Kozik, Michal Choras
2022 B conf
The cybersecurity-related ethical issues of cloud technology and how to avoid them.
ARES
Aleksandra Pawlicka, Marek Pawlicki, Rafal Renk, Rafal Kozik, Michal Choras
2022 B conf
Towards Deployment Shift Inhibition Through Transfer Learning in Network Intrusion Detection.
ARES
Marek Pawlicki, Rafal Kozik, Michal Choras
2022 J jnl
Unsupervised network traffic anomaly detection with deep autoencoders.
Log. J. IGPL
Vibekananda Dutta, Marek Pawlicki, Rafal Kozik, Michal Choras
2021 J jnl
A Systematic Review of Recommender Systems and Their Applications in Cybersecurity.
Sensors
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Ryszard S. Choras
2021 J jnl
A new method of hybrid time window embedding with transformer-based traffic data classification in IoT-networked environment.
Pattern Anal. Appl.
Rafal Kozik, Marek Pawlicki, Michal Choras
2021 — conf
Cyber-Attack Detection from IoT Benchmark Considered as Data Streams.
CORES/IP&C/ACS
Pawel Zyblewski, Marek Pawlicki, Rafal Kozik, Michal Choras
2021 — conf
Extending Machine Learning-Based Intrusion Detection with the Imputation Method.
CORES/IP&C/ACS
Mikolaj Komisarek, Marek Pawlicki, Piotr Sobonski, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
2021 J jnl
How to Effectively Collect and Process Network Data for Intrusion Detection?
Entropy
Mikolaj Komisarek, Marek Pawlicki, Rafal Kozik, Witold Holubowicz, Michal Choras
2021 J jnl
Intrusion detection approach based on optimised artificial neural network.
Neurocomputing
Michal Choras, Marek Pawlicki
2021 J jnl
Machine Learning Based Approach to Anomaly and Cyberattack Detection in Streamed Network Traffic Data.
J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl.
Mikolaj Komisarek, Marek Pawlicki, Rafal Kozik, Michal Choras
2021 B conf
Missing and Incomplete Data Handling in Cybersecurity Applications.
ACIIDS
Marek Pawlicki, Michal Choras, Rafal Kozik, Witold Holubowicz
2021 B conf
Network Intrusion Detection in the Wild - the Orange use case in the SIMARGL project.
ARES
Mikolaj Komisarek, Marek Pawlicki, Mikolaj Kowalski, Adrian Marzecki, Rafal Kozik, Michal Choras
2021 J jnl
Preprocessing Pipelines including Block-Matching Convolutional Neural Network for Image Denoising to Robustify Deep Reidentification against Evasion Attacks.
Entropy
Marek Pawlicki, Ryszard S. Choras
2021 — conf
The Methods and Approaches of Explainable Artificial Intelligence.
ICCS (4)
Mateusz Szczepanski, Michal Choras, Marek Pawlicki, Aleksandra Pawlicka
2021 J jnl
The Proposition and Evaluation of the RoEduNet-SIMARGL2021 Network Intrusion Detection Dataset.
Sensors
Maria-Elena Mihailescu, Darius Mihai, Mihai Carabas, Mikolaj Komisarek, Marek Pawlicki, Witold Holubowicz, Rafal Kozik
2021 — conf
The Proposition of Balanced and Explainable Surrogate Method for Network Intrusion Detection in Streamed Real Difficult Data.
ICCCI (CCIS Volume)
Mateusz Szczepanski, Mikolaj Komisarek, Marek Pawlicki, Rafal Kozik, Michal Choras
2021 J jnl
The stray sheep of cyberspace a.k.a. the actors who claim they break the law for the greater good.
Pers. Ubiquitous Comput.
Aleksandra Pawlicka, Michal Choras, Marek Pawlicki
2021 J jnl
Tight Arms Race: Overview of Current Malware Threats and Trends in Their Detection.
IEEE Access
Luca Caviglione, Michal Choras, Igino Corona, Artur Janicki, Wojciech Mazurczyk, Marek Pawlicki, Katarzyna Wasielewska
2021 — conf
Towards AI-Based Reaction and Mitigation for e-Commerce - the ENSURESEC Engine.
ICIC (3)
Marek Pawlicki, Rafal Kozik, Damian Puchalski, Michal Choras
2021 — conf
Using Machine Learning to Detect the Signs of Radicalization and Hate Speech on Twitter.
CORES/IP&C/ACS
Marcin Kuchczynski, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
2020 J jnl
A Deep Learning Ensemble for Network Anomaly and Cyber-Attack Detection.
Sensors
Vibekananda Dutta, Michal Choras, Marek Pawlicki, Rafal Kozik
2020 B conf
Achieving Explainability of Intrusion Detection System by Hybrid Oracle-Explainer Approach.
IJCNN
Mateusz Szczepanski, Michal Choras, Marek Pawlicki, Rafal Kozik
2020 J jnl
Common Representational Model and Ontologies for Effective Law Enforcement Solutions.
Vietnam. J. Comput. Sci.
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
2020 B conf
Cyberspace threats: not only hackers and criminals. Raising the awareness of selected unusual cyberspace actors - cybersecurity researchers' perspective.
ARES
Aleksandra Pawlicka, Michal Choras, Marek Pawlicki
2020 J jnl
Defending network intrusion detection systems against adversarial evasion attacks.
Future Gener. Comput. Syst.
Marek Pawlicki, Michal Choras, Rafal Kozik
2020 J jnl
Detection of Cyberattacks Traces in IoT Data.
J. Univers. Comput. Sci.
Vibekananda Dutta, Michal Choras, Marek Pawlicki, Rafal Kozik
2020 Misc conf
Distributed Architecture for Fake News Detection.
CISIS
Rafal Kozik, Michal Choras, Sebastian Kula, Marek Pawlicki
2020 J jnl
Guidelines for Stego/Malware Detection Tools: Achieving GDPR Compliance.
IEEE Technol. Soc. Mag.
Aleksandra Pawlicka, Dagmara Jaroszewska-Choras, Michal Choras, Marek Pawlicki
2020 Misc conf
Hybrid Model for Improving the Classification Effectiveness of Network Intrusion Detection.
CISIS
Vibekananda Dutta, Michal Choras, Rafal Kozik, Marek Pawlicki
2020 — conf
Machine Learning - The Results Are Not the only Thing that Matters! What About Security, Explainability and Fairness?
ICCS (4)
Michal Choras, Marek Pawlicki, Damian Puchalski, Rafal Kozik
2020 — conf
On the Impact of Network Data Balancing in Cybersecurity Applications.
ICCS (4)
Marek Pawlicki, Michal Choras, Rafal Kozik, Witold Holubowicz
2020 Misc conf
Proposition of Innovative and Scalable Information System for Call Detail Records Analysis and Visualisation.
CISIS
Rafal Kozik, Michal Choras, Marek Pawlicki, Aleksandra Pawlicka, Wojciech Warczak, Grzegorz Mazgaj
2020 B conf
Real-time stream processing tool for detecting suspicious network patterns using machine learning.
ARES
Mikolaj Komisarek, Michal Choras, Rafal Kozik, Marek Pawlicki
2019 — conf
Artificial Neural Network Hyperparameter Optimisation for Network Intrusion Detection.
ICIC (1)
Marek Pawlicki, Rafal Kozik, Michal Choras
2019 — conf
Fault-Prone Software Classes Recognition via Artificial Neural Network with Granular Dataset Balancing.
CORES
Marek Pawlicki, Agata Gielczyk, Rafal Kozik, Michal Choras
2019 — conf
Gated Recurrent Units for Intrusion Detection.
IP&C
Marek Pawlicki, Adam Marchewka, Michal Choras, Rafal Kozik
2019 J jnl
Practical Employment of Granular Computing to Complex Application Layer Cyberattack Detection.
Complex.
Rafal Kozik, Marek Pawlicki, Michal Choras, Witold Pedrycz
2019 — conf
Recognizing Faults in Software Related Difficult Data.
ICCS (3)
Michal Choras, Marek Pawlicki, Rafal Kozik
2019 B conf
SocialTruth Project Approach to Online Disinformation (Fake News) Detection and Mitigation.
ARES
Michal Choras, Marek Pawlicki, Rafal Kozik, Konstantinos P. Demestichas, Pavlos Kosmides, Manik Gupta
2019 — conf
Software Development Metrics Prediction Using Time Series Methods.
CISIM
Michal Choras, Rafal Kozik, Marek Pawlicki, Witold Holubowicz, Xavier Franch
2019 — conf
The Feasibility of Deep Learning Use for Adversarial Model Extraction in the Cybersecurity Domain.
IDEAL (2)
Michal Choras, Marek Pawlicki, Rafal Kozik
2019 — conf
The Identification and Creation of Ontologies for the Use in Law Enforcement AI Solutions - MAGNETO Platform Use Case.
ICCCI (2)
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
2018 J jnl
Cost-Sensitive Distributed Machine Learning for NetFlow-Based Botnet Activity Detection.
Secur. Commun. Networks
Rafal Kozik, Marek Pawlicki, Michal Choras
2018 B conf
Recent Granular Computing Implementations and its Feasibility in Cybersecurity Domain.
ARES
Marek Pawlicki, Michal Choras, Rafal Kozik
2018 — conf
Sparse Autoencoders for Unsupervised Netflow Data Classification.
IP&C
Rafal Kozik, Marek Pawlicki, Michal Choras