3 papers
cs.CR2025
Membership Inference Attacks Beyond Overfitting
Mona Khalil, Alberto Blanco-Justicia, Najeeb Jebreel +1
Membership inference attacks (MIAs) against machine learning (ML) models aim to determine whether a given data point was part of the model training data. These attacks may pose sig…
cs.CR2025
How Worrying Are Privacy Attacks Against Machine Learning?
Josep Domingo-Ferrer
In several jurisdictions, the regulatory framework on the release and sharing of personal data is being extended to machine learning (ML). The implicit assumption is that disclosin…
cs.LG2025
DP2Unlearning: An Efficient and Guaranteed Unlearning Framework for LLMs
Tamim Al Mahmud, Najeeb Jebreel, Josep Domingo-Ferrer +1
Large language models (LLMs) have recently revolutionized language processing tasks but have also brought ethical and legal issues. LLMs have a tendency to memorize potentially pri…