Simulation of mobile wireless ad hoc networks for emergency situation awareness. - Andrzej Sikora; Ewa Niewiadomska-Szynkiewicz; Mateusz Krzyszton (FedCSIS, 2015)

Combining Machine Learning and Multi-agent Approach for Controlling Traffic at Intersections. - Mateusz Krzyszton; Bartlomiej Sniezynski (ICCCI (1), 2015)

Comparison of MANET self-organization methods for boundary detection/tracking of heavy gas cloud. - Mateusz Krzyszton (FedCSIS, 2016)

Mobile ad hoc network for a heavy gas cloud boundary estimation and tracking. - Mateusz Krzyszton; Ewa Niewiadomska-Szynkiewicz (MMAR, 2016)

Adaptation of MANET topology to monitor dynamic phenomena clouds. - Mateusz Krzyszton; Ewa Niewiadomska-Szynkiewicz (FedCSIS, 2017)

Adaptive Supervisor: Method of Reinforcement Learning Fault Elimination by Application of Supervised Learning. - Mateusz Krzyszton (FedCSIS, 2018)

Application of IoT in military operations in a smart city. - Frank T. Johnsen; Zbigniew Zielinski; Konrad S. Wrona; Niranjan Suri; Christoph Fuchs 003; Manas Pradhan; Janusz Furtak; Bogdan Vasilache; Vincenzo Pellegrini; Michal Dyk; Michal Marks; Mateusz Krzyszton (ICMCIS, 2018)

Application of Bluetooth low energy protocol for communication in mobile networks. - Andrzej Sikora; Mateusz Krzyszton; Michal Marks (ICMCIS, 2018)

Medical Data Processing and Analysis for Remote Health and Activities Monitoring. - Salvatore Vitabile; Michal Marks; Dragan Stojanovic; Sabri Pllana; José Manuel Molina 001; Mateusz Krzyszton; Andrzej Sikora; Andrzej Jarynowski; Farhoud Hosseinpour; Agnieszka Jakobik; Aleksandra Stojnev Ilic; Ana Respício; et al. (High-Performance Modelling and Simulation for Big Data Applications, 2019)

Simulation of watchdog placement for cooperative anomaly detection in Bluetooth Mesh Intrusion Detection System. - Mateusz Krzyszton; Michal Marks (Simul. Model. Pract. Theory, 2020)

Intelligent Mobile Wireless Network for Toxic Gas Cloud Monitoring and Tracking. - Mateusz Krzyszton; Ewa Niewiadomska-Szynkiewicz (Sensors, 2021)

Lightweight On-Device Detection of Android Malware Based on the Koodous Platform and Machine Learning. - Mateusz Krzyszton; Bartosz Bok; Marcin Lew; Andrzej Sikora (Sensors, 2022)

NAD: Machine Learning Based Component for Unknown Attack Detection in Network Traffic. - Mateusz Krzyszton; Marcin Lew; Michal Marks (Cybersecurity of Digital Service Chains, 2022)

IEEE BigData 2023 Keystroke Verification Challenge (KVC). - Giuseppe Stragapede; Rubén Vera-Rodríguez; Ruben Tolosana; Aythami Morales; Ivan DeAndres-Tame; Naser Damer; Julian Fiérrez; Javier Ortega-Garcia; Nahuel González; Andrei Shadrikov; Dmitrii Gordin; Leon Schmitt; et al. (IEEE Big Data, 2023)

Anomaly Detection In TCP/IP Networks. - Joanna Kolodziej; Mateusz Krzyszton; Pawel Szynkiewicz (ECMS, 2023)

Evasion attacks on ML in domains with nonlinear constraints. - Mateusz Krzyszton; Bartosz Bok; Pawel Zakieta; Joanna Kolodziej (CCGridW, 2024)

Securing ML-based Android Malware Detectors: A Defensive Feature Selection Approach against Backdoor Attacks. - Bartlomiej Marek; Kacper Pieniazek; Filip Ratajczak; Wojciech Adamczyk; Bartosz Bok; Mateusz Krzyszton (CCGridW, 2024)

Adversarial Robustness Of Multimodal Machine Learning Models. - Mateusz Kowalczyk; Karolina Seweryn; Joanna Kolodziej; Mateusz Krzyszton (ECMS, 2025)

KVC-onGoing: Keystroke Verification Challenge. - Giuseppe Stragapede; Rubén Vera-Rodríguez; Ruben Tolosana; Aythami Morales; Ivan DeAndres-Tame; Naser Damer; Julian Fiérrez; Javier Ortega-Garcia; Alejandro Acien; Nahuel González; Andrei Shadrikov; Dmitrii Gordin; et al. (Pattern Recognit., 2025)