Yan Scholten

Sampling-aware Adversarial Attacks Against Large Language Models

Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs

Certifying Graph Neural Networks Against Label and Structure Poisoning

A Probabilistic Perspective on Unlearning and Alignment for Large Language Models

Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning