Jakob Nyberg

A doctoral student at NSE. Researching possibilites of combining cyber-security and machine learning. Working with the project named SENTIENCE.

My supervisors are Pontus Johnson och Rolf Stadler.

Education

• Master of Science in Engineering. Examined 2020 at Uppsala University.

Publications

• Vejde: A Framework for Inductive Deep Reinforcement Learning Based on Factor Graph Color Refinement
• Structural Generalization in Autonomous Cyber Incident Response with Message-Passing Neural Networks and Reinforcement Learning
• Anomaly Detection in Security Logs using Sequence Modeling
  • Tillsammans med Simon Gökstorp och Yeongwoo Kim
• Cyber threat response using reinforcement learning in graph-based attack simulations
• Learning automated defense strategies using graph-based cyber attack simulations
• Response Generation Using Large-scale Pre-trained Language Models