Aleksandra Pawlicka

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 40

Top Topics

Intrusion Detection

Machine Learning

Encoding Schemes

Law Enforcement Agencies

Top Venues

Publications

Marek Pawlicki, Aleksandra Pawlicka, Federica Uccello, Sebastian Szelest, Salvatore D'Antonio, Rafal Kozik, Michal Choras
Evaluating the necessity of the multiple metrics for assessing explainable AI: A critical examination. Neurocomputing 602 (2024)
Marek Pawlicki, Damian Puchalski, Sebastian Szelest, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
Introducing a Multi-Perspective xAI Tool for Better Model Explainability. ARES (2024)
Rafal Kozik, Massimo Ficco, Aleksandra Pawlicka, Marek Pawlicki, Francesco Palmieri, Michal Choras
When explainability turns into a threat - using xAI to fool a fake news detection method. Comput. Secur. 137 (2024)
Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
Explainability versus Security: The Unintended Consequences of xAI in Cybersecurity. SecTL@AsiaCCS (2024)
Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
Advanced insights through systematic analysis: Mapping future research directions and opportunities for xAI in deep learning and artificial intelligence used in cybersecurity. Neurocomputing 590 (2024)
Rafal Kozik, Damian Puchalski, Aleksandra Pawlicka, Szymon Bus, Jakub Glówka, Krishna Chandramouli, Marco Tiemann, Marek Pawlicki, Rafal Renk, Michal Choras
ULTIMATE Project Toolkit for Robotic AI-Based Data Analysis and Visualization. ACIIDS (2) (2024)
Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras, Wojciech Mazurczyk, Krzysztof Cabaj
A Meta-Analysis of State-of-the-Art Automated Fake News Detection Methods. IEEE Trans. Comput. Soc. Syst. 11 (4) (2024)
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Agnieszka Andrychowicz-Trojanowska, Michal Choras
AI vs linguistic-based human judgement: Bridging the gap in pursuit of truth for fake news detection. Inf. Sci. 679 (2024)
Mikolaj Komisarek, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Aleksandra Pawlicka, Michal Choras
Enhancing Network Security Through Granular Computing: A Clustering-by-Time Approach to NetFlow Traffic Analysis. ARES (2024)
Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
Model Stitching Algorithm for Fake News Detection Problem. DSAA (2023)
Aleksandra Pawlicka, Damian Puchalski, Marek Pawlicki, Rafal Kozik, Michal Choras
How to secure the IoT-based surveillance systems in an ELEGANT way. CSR (2023)
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Michal Choras
What Will the Future of Cybersecurity Bring Us, and Will It Be Ethical? The Hunt for the Black Swans of Cybersecurity Ethics. IEEE Access 11 (2023)
Rafal Kozik, Wojciech Mazurczyk, Krzysztof Cabaj, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
Deep Learning for Combating Misinformation in Multicategorical Text Contents. Sensors 23 (24) (2023)
Michal Choras, Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik
How to Navigate the Uncharted Waters of Cyberwar. AMCIS (2023)
Aleksandra Pawlicka, Michal Choras, Rafal Kozik, Marek Pawlicki
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. 27 (2) (2023)
Aleksandra Pawlicka, Renata Tomaszewska, Ewa Krause, Dagmara Jaroszewska-Choras, Marek Pawlicki, Michal Choras
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. 14 (11) (2023)
Wiktor Kurek, Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
Explainable Artificial Intelligence 101: Techniques, Applications and Challenges. ICIC (4) (2023)
Rafal Kozik, Joanna Komorniczak, Pawel Ksieniewicz, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
SWAROG Project Approach to Fake News Detection Problem. CISIS-ICEUTE (2023)
Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
The survey and meta-analysis of the attacks, transgressions, countermeasures and security aspects common to the Cloud, Edge and IoT. Neurocomputing 551 (2023)
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Michal Choras
The Rise of AI-Powered Writing: How ChatGPT is Revolutionizing Scientific Communication for Better or for Worse. ICAI (1) (2023)
Rafal Kozik, Wojciech Mazurczyk, Krzysztof Cabaj, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
Combating Disinformation with Holistic Architecture, Neuro-symbolic AI and NLU Models. DSAA (2023)
Marek Pawlicki, Aleksandra Pawlicka, Mscislaw Srutek, Rafal Kozik, Michal Choras
Interpreting Intrusions - The Role of Explainability in AI-Based Intrusion Detection Systems. CORES/IP&C (2023)
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Michal Choras
The Need for Practical Legal and Ethical Guidelines for Explainable AI-based Network Intrusion Detection Systems. ICDM (Workshops) (2023)
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Wiktor Kurek, Michal Choras
How Explainable Is Explainability? Towards Better Metrics for Explainable AI. RIIFORUM (2023)
Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
How to Boost Machine Learning Network Intrusion Detection Performance with Encoding Schemes. CISIM (2023)
Michal Choras, Aleksandra Pawlicka, Dagmara Jaroszewska-Choras, Marek Pawlicki
Not Only Security and Privacy: The Evolving Ethical and Legal Challenges of E-Commerce. ESORICS Workshops (1) (2023)
Aleksandra Pawlicka, Marek Pawlicki, Rafal Renk, Rafal Kozik, Michal Choras
The cybersecurity-related ethical issues of cloud technology and how to avoid them. ARES (2022)
Marek Pawlicki, Aleksandra Pawlicka, Mikolaj Komisarek, Rafal Kozik, Michal Choras
The IoT Threat Landscape vs. Machine Learning, a.k.a. Who Attacks IoT, Why Do They Do It, and How to Prevent It? ISD (2022)
Michal Choras, Aleksandra Pawlicka, Rafal Kozik, Michal Wozniak
How Machine Learning May Prevent the Breakdown of Democracy by Contributing to Fake News Detection. IT Prof. 24 (2) (2022)
Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
Graph Databases and E-commerce Cybersecurity - a Match Made in Heaven? The Innovative Technology to Enhance Cyberthreat Mitigation. ISD (2022)
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Michal Choras
Fake News and Threats to IoT - The Crucial Aspects of Cyberspace in the Times of Cyberwar. RIIFORUM (2022)
Aleksandra Pawlicka, Michal Choras, Marek Pawlicki
The stray sheep of cyberspace a.k.a. the actors who claim they break the law for the greater good. Pers. Ubiquitous Comput. 25 (5) (2021)
Marcin Kuchczynski, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
Using Machine Learning to Detect the Signs of Radicalization and Hate Speech on Twitter. CORES/IP&C/ACS (2021)
Mikolaj Komisarek, Marek Pawlicki, Piotr Sobonski, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
Extending Machine Learning-Based Intrusion Detection with the Imputation Method. CORES/IP&C/ACS (2021)
Mateusz Szczepanski, Michal Choras, Marek Pawlicki, Aleksandra Pawlicka
The Methods and Approaches of Explainable Artificial Intelligence. ICCS (4) (2021)
Aleksandra Pawlicka, Michal Choras, Marcin Przybyszewski, Laurent Belmon, Rafal Kozik, Konstantinos P. Demestichas
Why Do Law Enforcement Agencies Need AI for Analyzing Big Data? CISIM (2021)
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Ryszard S. Choras
A Systematic Review of Recommender Systems and Their Applications in Cybersecurity. Sensors 21 (15) (2021)
Aleksandra Pawlicka, Michal Choras, Marek Pawlicki
Cyberspace threats: not only hackers and criminals. Raising the awareness of selected unusual cyberspace actors - cybersecurity researchers' perspective. ARES (2020)
Rafal Kozik, Michal Choras, Marek Pawlicki, Aleksandra Pawlicka, Wojciech Warczak, Grzegorz Mazgaj
Proposition of Innovative and Scalable Information System for Call Detail Records Analysis and Visualisation. CISIS (2020)
Aleksandra Pawlicka, Dagmara Jaroszewska-Choras, Michal Choras, Marek Pawlicki
Guidelines for Stego/Malware Detection Tools: Achieving GDPR Compliance. IEEE Technol. Soc. Mag. 39 (4) (2020)