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2020 – today
- 2024
[j16]Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
The survey on the dual nature of xAI challenges in intrusion detection and their potential for AI innovation. Artif. Intell. Rev. 57(12): 330 (2024)- [j15]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: 103599 (2024) - [j14]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: 127759 (2024) - [j13]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: 128282 (2024) - [j12]Rafal Kozik, Gracjan Katek, Marta Gackowska, Sebastian Kula, Joanna Komorniczak, Pawel Ksieniewicz, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras:
Towards explainable fake news detection and automated content credibility assessment: Polish internet and digital media use-case. Neurocomputing 608: 128450 (2024) - [j11]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: 121097 (2024) - [j10]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): 5219-5229 (2024) - [c27]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: 93:1-93:8 - [c26]Marek Pawlicki, Damian Puchalski, Sebastian Szelest, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
Introducing a Multi-Perspective xAI Tool for Better Model Explainability. ARES 2024: 95:1-95:8 - [c25]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: 44-55 - [c24]Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras:
From Detection Through Display to Understanding: Bridging AI and UI in Disinformation and Fake News Analysis. ICCCI (CCIS Volume 1) 2024: 347-357 - [c23]Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
Explainability versus Security: The Unintended Consequences of xAI in Cybersecurity. SecTL@AsiaCCS 2024: 1-7 - 2023
- [j9]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: 58796-58807 (2023) - [j8]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: 126533 (2023) - [j7]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): 14721-14731 (2023) - [j6]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): 193-202 (2023) - [j5]Rafal Kozik, Wojciech Mazurczyk, Krzysztof Cabaj, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras:
Deep Learning for Combating Misinformation in Multicategorical Text Contents. Sensors 23(24): 9666 (2023) - [c22]Michal Choras, Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik:
How to Navigate the Uncharted Waters of Cyberwar. AMCIS 2023 - [c21]Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
How to Boost Machine Learning Network Intrusion Detection Performance with Encoding Schemes. CISIM 2023: 283-297 - [c20]Rafal Kozik, Joanna Komorniczak, Pawel Ksieniewicz, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras:
SWAROG Project Approach to Fake News Detection Problem. CISIS-ICEUTE 2023: 79-88 - [c19]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: 45-53 - [c18]Aleksandra Pawlicka, Damian Puchalski, Marek Pawlicki, Rafal Kozik, Michal Choras:
How to secure the IoT-based surveillance systems in an ELEGANT way. CSR 2023: 636-640 - [c17]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: 1-9 - [c16]Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras:
Model Stitching Algorithm for Fake News Detection Problem. DSAA 2023: 1-7 - [c15]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: 167-181 - [c14]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: 317-327 - [c13]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: 253-261 - [c12]Wiktor Kurek, Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
Explainable Artificial Intelligence 101: Techniques, Applications and Challenges. ICIC (4) 2023: 310-318 - [c11]Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Wiktor Kurek, Michal Choras:
How Explainable Is Explainability? Towards Better Metrics for Explainable AI. RIIFORUM 2023: 685-695 - 2022
- [j4]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): 25-31 (2022) - [c10]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: 56:1-56:7 - [c9]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 - [c8]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 - [c7]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: 31-38 - 2021
- [j3]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): 843-852 (2021) - [j2]Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Ryszard S. Choras:
A Systematic Review of Recommender Systems and Their Applications in Cybersecurity. Sensors 21(15): 5248 (2021) - [c6]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: 331-342 - [c5]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: 210-218 - [c4]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: 284-292 - [c3]Mateusz Szczepanski, Michal Choras, Marek Pawlicki, Aleksandra Pawlicka:
The Methods and Approaches of Explainable Artificial Intelligence. ICCS (4) 2021: 3-17 - 2020
- [j1]Aleksandra Pawlicka, Dagmara Jaroszewska-Choras, Michal Choras, Marek Pawlicki:
Guidelines for Stego/Malware Detection Tools: Achieving GDPR Compliance. IEEE Technol. Soc. Mag. 39(4): 60-70 (2020) - [c2]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: 55:1-55:11 - [c1]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: 174-183
Coauthor Index
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