New preprint available: "Adversarial Training of Linear Models under Stealthy Attacks"
Machine Learning · Uppsala University
Lovisa Luna
PhD Student in Machine Learning
Reliable machine learning for decision-making from sequential data.
I study how automated systems can make reliable decisions when the data they depend on may be uncertain, corrupted, delayed, or manipulated.
Recently
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Paper presentation of "Detecting Feedback-path Delay Injection Attacks Using Interacting Multiple Model Filtering" at ECC 2026
Attended MLSS^RS, with a poster presentation
Half time seminar completed
Oral presentation at SWITS 2026
Paper accepted to ECC 2026
Poster presentation at the Swedish Control Meeting
Oral presentation at ECEIA
Volonteer at ECC 2024