Aleksandra Pawlicka

62 papers B 7Misc 2Journal 21Unranked 32
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
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 — 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
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 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
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
Class-Based SHAP Analysis for Improved Explainability Insights in NIDS.
ICAI (1)
Marek Pawlicki, Aleksandra Pawlicka, Sebastian Szelest, 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
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 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 — 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
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 — 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 — 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
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 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 — 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 — 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
How Machine Learning May Prevent the Breakdown of Democracy by Contributing to Fake News Detection.
IT Prof.
Michal Choras, Aleksandra Pawlicka, Rafal Kozik, Michal Wozniak
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
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 — 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 — conf
The Methods and Approaches of Explainable Artificial Intelligence.
ICCS (4)
Mateusz Szczepanski, Michal Choras, Marek Pawlicki, Aleksandra Pawlicka
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 — 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
2021 — conf
Why Do Law Enforcement Agencies Need AI for Analyzing Big Data?
CISIM
Aleksandra Pawlicka, Michal Choras, Marcin Przybyszewski, Laurent Belmon, Rafal Kozik, Konstantinos P. Demestichas
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
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
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