Lukas Gosch

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 10

Top Topics

Backpropagation Algorithm

Graph Representation

Top Venues

Publications

Philipp Foth, Lukas Gosch, Simon Geisler, Leo Schwinn, Stephan Günnemann
Relaxing Graph Transformers for Adversarial Attacks. CoRR (2024)
Lukas Gosch, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar, Stephan Günnemann
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks. CoRR (2024)
Lukas Gosch, Daniel Sturm, Simon Geisler, Stephan Günnemann
Revisiting Robustness in Graph Machine Learning. CoRR (2023)
Lukas Gosch, Daniel Sturm, Simon Geisler, Stephan Günnemann
Revisiting Robustness in Graph Machine Learning. ICLR (2023)
Lukas Gosch, Simon Geisler, Daniel Sturm, Bertrand Charpentier, Daniel Zügner, Stephan Günnemann
Adversarial Training for Graph Neural Networks. CoRR (2023)
Morgane Ayle, Jan Schuchardt, Lukas Gosch, Daniel Zügner, Stephan Günnemann
Training Differentially Private Graph Neural Networks with Random Walk Sampling. CoRR (2023)
Francesco Campi, Lukas Gosch, Tom Wollschläger, Yan Scholten, Stephan Günnemann
Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness. CoRR (2023)
Marcel Kollovieh, Lukas Gosch, Yan Scholten, Marten Lienen, Stephan Günnemann
Assessing Robustness via Score-Based Adversarial Image Generation. CoRR (2023)
Lukas Gosch, Simon Geisler, Daniel Sturm, Bertrand Charpentier, Daniel Zügner, Stephan Günnemann
Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions. NeurIPS (2023)
Roman Feldbauer, Lukas Gosch, Lukas Lüftinger, Patrick Hyden, Arthur Flexer, Thomas Rattei
DeepNOG: fast and accurate protein orthologous group assignment. Bioinform. 36 (22-23) (2021)