Foundations of Responsible Machine Learning
We are a research group at the University of Copenhagen developing principled methods at the intersection of privacy, robustness, learning theory, and generally all aspects of responsible machine learning.
Featured News
Three new members join FoRML
2025-10-01
We have three new members joining our group. Luka and Giorgio have joined us since September 1 as PhD students and Vikrant will be joining us from January 1, 2026 as fixed term Assistant Professor.
New Publications from our group
2025-09-19
Johanna's paper on Differentially Private PCA was accepted to NeurIPS 2025 and Carolin's paper on Online Learning in an Echo Chamber was accepted to SODA 2025.
P1 program on Data Privacy
2025-08-01
Amartya is the co-director of the P1 program on Data Privacy in Machine learning!