| 2025 | ECMS | Adversarial Robustness Of Multimodal Machine Learning Models. | Mateusz Kowalczyk, Karolina Seweryn, Joanna Kolodziej, Mateusz Krzyszton |
| 2024 | CCGRID | Evasion attacks on ML in domains with nonlinear constraints. | Mateusz Krzyszton, Bartosz Bok, Pawel Zakieta, Joanna Kolodziej |
| 2024 | CCGRID | 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 |
| 2023 | ECMS | Anomaly Detection In TCP/IP Networks. | Joanna Kolodziej, Mateusz Krzyszton, Pawel Szynkiewicz |
| 2018 | FedCSIS | Adaptive Supervisor: Method of Reinforcement Learning Fault Elimination by Application of Supervised Learning. | Mateusz Krzyszton |
| 2017 | FedCSIS | Adaptation of MANET topology to monitor dynamic phenomena clouds. | Mateusz Krzyszton, Ewa Niewiadomska-Szynkiewicz |
| 2016 | FedCSIS | Comparison of MANET self-organization methods for boundary detection/tracking of heavy gas cloud. | Mateusz Krzyszton |
| 2016 | MMAR | Mobile ad hoc network for a heavy gas cloud boundary estimation and tracking. | Mateusz Krzyszton, Ewa Niewiadomska-Szynkiewicz |
| 2015 | FedCSIS | Simulation of mobile wireless ad hoc networks for emergency situation awareness. | Andrzej Sikora, Ewa Niewiadomska-Szynkiewicz, Mateusz Krzyszton |
| 2015 | ICCCI | Combining Machine Learning and Multi-agent Approach for Controlling Traffic at Intersections. | Mateusz Krzyszton, Bartlomiej Sniezynski |