Scholten, Yan

7 publications

ICLR 2025 A Probabilistic Perspective on Unlearning and Alignment for Large Language Models Yan Scholten, Stephan Günnemann, Leo Schwinn

ICLR 2025 Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning Yan Scholten, Stephan Günnemann

TMLR 2024 Assessing Robustness via Score-Based Adversarial Image Generation Marcel Kollovieh, Lukas Gosch, Marten Lienen, Yan Scholten, Leo Schwinn, Stephan Günnemann

ICMLW 2023 Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness Francesco Campi, Lukas Gosch, Tom Wollschläger, Yan Scholten, Stephan Günnemann

NeurIPS 2023 Hierarchical Randomized Smoothing Yan Scholten, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann

NeurIPS 2023 Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More Jan Schuchardt, Yan Scholten, Stephan Günnemann

NeurIPS 2022 Randomized Message-Interception Smoothing: Gray-Box Certificates for Graph Neural Networks Yan Scholten, Jan Schuchardt, Simon Geisler, Aleksandar Bojchevski, Stephan Günnemann