Yan Scholten - RankMe

19 papers A* 6A 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	A Probabilistic Perspective on Unlearning and Alignment for Large Language Models. ICLR Yan Scholten, Stephan Günnemann, Leo Schwinn
2025	J	`jnl`	Adversarial Alignment for LLMs Requires Simpler, Reproducible, and More Measurable Objectives. CoRR Leo Schwinn, Yan Scholten, Tom Wollschläger, Sophie Xhonneux, Stephen Casper, Stephan Günnemann, Gauthier Gidel
2025	J	`jnl`	Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs. CoRR Yan Scholten, Sophie Xhonneux, Leo Schwinn, Stephan Günnemann
2025	A*	`conf`	Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning. ICLR Yan Scholten, Stephan Günnemann
2025	J	`jnl`	Tail-aware Adversarial Attacks: A Distributional Approach to Efficient LLM Jailbreaking. CoRR Tim Beyer, Yan Scholten, Leo Schwinn, Stephan Günnemann
2024	J	`jnl`	A Probabilistic Perspective on Unlearning and Alignment for Large Language Models. CoRR Yan Scholten, Stephan Günnemann, Leo Schwinn
2024	J	`jnl`	Assessing Robustness via Score-Based Adversarial Image Generation. Trans. Mach. Learn. Res. Marcel Kollovieh, Lukas Gosch, Marten Lienen, Yan Scholten, Leo Schwinn, Stephan Günnemann
2024	J	`jnl`	Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning. CoRR Yan Scholten, Stephan Günnemann
2023	A*	`conf`	(Provable) Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More. NeurIPS Jan Schuchardt, Yan Scholten, Stephan Günnemann
2023	J	`jnl`	(Provable) Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More. CoRR Jan Schuchardt, Yan Scholten, Stephan Günnemann
2023	J	`jnl`	Assessing Robustness via Score-Based Adversarial Image Generation. CoRR Marcel Kollovieh, Lukas Gosch, Yan Scholten, Marten Lienen, Stephan Günnemann
2023	J	`jnl`	Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness. CoRR Francesco Campi, Lukas Gosch, Tom Wollschläger, Yan Scholten, Stephan Günnemann
2023	A*	`conf`	Hierarchical Randomized Smoothing. NeurIPS Yan Scholten, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
2023	J	`jnl`	Hierarchical Randomized Smoothing. CoRR Yan Scholten, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
2023	J	`jnl`	Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks. CoRR Yan Scholten, Jan Schuchardt, Simon Geisler, Aleksandar Bojchevski, Stephan Günnemann
2022	A*	`conf`	Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks. NeurIPS Yan Scholten, Jan Schuchardt, Simon Geisler, Aleksandar Bojchevski, Stephan Günnemann
2020	A	`conf`	CauseNet: Towards a Causality Graph Extracted from the Web. CIKM Stefan Heindorf, Yan Scholten, Henning Wachsmuth, Axel-Cyrille Ngonga Ngomo, Martin Potthast
2019	—	`conf`	Debiasing Vandalism Detection Models at Wikidata. GI-Jahrestagung Stefan Heindorf, Yan Scholten, Gregor Engels, Martin Potthast
2019	A*	`conf`	Debiasing Vandalism Detection Models at Wikidata. WWW Stefan Heindorf, Yan Scholten, Gregor Engels, Martin Potthast