Proposed activities
We will examine methods of incorporating watermarks that can definitively ascertain whether a specific text, image, or video has been created by an AI system.
We will leverage the strengths of federated learning and blockchain to develop a robust learning model that can withstand cyber threats, a crucial element in any cybersecurity strategy.
We guarantee reliable outputs, regardless of the model input or external factors that may arise. We also provide new and more efficient metrics.
This activity is focused on the analysis of data to detect anomalous traffic patterns. The development of this project will be guided by three key objectives.
The overarching goal of this initiative is twofold: The first objective is to investigate IAPG in critical facilities and ensure their reliability in order to resist cyber-attacks. Furthermore, the study will examine the potential of these tools to enhance cybersecurity, including capabilities such as intrusion detection.
