Lukas Gosch

15 papers A* 3Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Adversarial Robustness of Graph Transformers.
Trans. Mach. Learn. Res.
Philipp Foth, Lukas Gosch, Simon Geisler, Leo Schwinn, Stephan Günnemann
2025 A* conf
Exact Certification of (Graph) Neural Networks Against Label Poisoning.
ICLR
Mahalakshmi Sabanayagam, Lukas Gosch, Stephan Günnemann, Debarghya Ghoshdastidar
2025 J jnl
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks.
Trans. Mach. Learn. Res.
Lukas Gosch, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar, Stephan Günnemann
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
Exact Certification of (Graph) Neural Networks Against Label Poisoning.
CoRR
Mahalakshmi Sabanayagam, Lukas Gosch, Stephan Günnemann, Debarghya Ghoshdastidar
2024 J jnl
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks.
CoRR
Lukas Gosch, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar, Stephan Günnemann
2024 J jnl
Relaxing Graph Transformers for Adversarial Attacks.
CoRR
Philipp Foth, Lukas Gosch, Simon Geisler, Leo Schwinn, Stephan Günnemann
2023 J jnl
Adversarial Training for Graph Neural Networks.
CoRR
Lukas Gosch, Simon Geisler, Daniel Sturm, Bertrand Charpentier, Daniel Zügner, Stephan Günnemann
2023 A* conf
Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions.
NeurIPS
Lukas Gosch, Simon Geisler, Daniel Sturm, Bertrand Charpentier, Daniel Zügner, 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
Revisiting Robustness in Graph Machine Learning.
ICLR
Lukas Gosch, Daniel Sturm, Simon Geisler, Stephan Günnemann
2023 J jnl
Revisiting Robustness in Graph Machine Learning.
CoRR
Lukas Gosch, Daniel Sturm, Simon Geisler, Stephan Günnemann
2023 J jnl
Training Differentially Private Graph Neural Networks with Random Walk Sampling.
CoRR
Morgane Ayle, Jan Schuchardt, Lukas Gosch, Daniel Zügner, Stephan Günnemann
2021 J jnl
DeepNOG: fast and accurate protein orthologous group assignment.
Bioinform.
Roman Feldbauer, Lukas Gosch, Lukas Lüftinger, Patrick Hyden, Arthur Flexer, Thomas Rattei