Our vision is to develop methodologies for designing intelligent autonomous decision-making systems that are secure and resilient against malicious adversaries and natural failures.
Our research incorporates elements from cybersecurity, control theory, optimization and machine learning, reinforcement learning, game-theory and networked / distributed systems. You can find an overview of some of our research themes at our Research page.
We are a dynamic research group at the Department of Information Technology, Uppsala University, Sweden. We exchange ideas and work with our colleagues from the several of the Department’s research areas, namely Cybersecurity, AI, Data Science, and Control Systems. We also have ongoing collaborations with our neighboring Department of Electrical Engineering. We are driving local research initiatives related to cybersecurity, through the Graduate School in Cybersecurity and the Cybersecurity Arena.
We are looking for driven new PhD students, Postdocs, and Master students to join the team (more info) !
We are grateful for the early-career funding from Uppsala University, the Knut and Alice Wallenberg Foundation (Wallenberg Academy Fellow), the Swedish Research Council (Starting Grant), and the Swedish Foundation for Strategic Research (Future Research Leaders Grant).
See our funding and ongoing projects at our Funding page.
12 March 2026
Lovisa Eriksson has received the Liljewalch travel scholarship to support her participation in the Machine Learning Summer School on Reliability & Safety 2026 in Kraków, Poland.
05 March 2026
We have two papers recently accepted to ECC2026, one on assessing the H2-norm performance of networked control systems subject to multiplicative routing attacks, and another proposing an IMM-based approach for detecting delay attacks in networked control systems. See the details at Publications.
27 January 2026
Our paper '’Byzantine-Robust Federated Learning with Learnable Aggregation Weights’’ was accepted to ICLR 2026. See the details at Publications.
22 January 2026
Our paper '’Fundamental limitations of sensitivity metrics for anomaly impact analysis in LTI systems’’ was accepted to ACC 2026. See the details at Publications.
15 December 2025
Read the latest popular science piece about our research funded by the Knut and Alice Wallenberg foundation.
