Gosch, Lukas

13 publications

TMLR 2025 Adversarial Robustness of Graph Transformers Philipp Foth, Lukas Gosch, Simon Geisler, Leo Schwinn, Stephan Günnemann

ICLR 2025 Exact Certification of (Graph) Neural Networks Against Label Poisoning Mahalakshmi Sabanayagam, Lukas Gosch, Stephan Günnemann, Debarghya Ghoshdastidar

ICLRW 2025 Exact Certification of (Graph) Neural Networks Against Label Poisoning Mahalakshmi Sabanayagam, Lukas Gosch, Stephan Günnemann, Debarghya Ghoshdastidar

TMLR 2025 Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks Lukas Gosch, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar, Stephan Günnemann

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

NeurIPSW 2024 Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks Lukas Gosch, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar, Stephan Günnemann

ICMLW 2024 Relaxing Graph Transformers for Adversarial Attacks Philipp Foth, Lukas Gosch, Simon Geisler, Leo Schwinn, Stephan Günnemann

NeurIPS 2023 Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions Lukas Gosch, Simon Geisler, Daniel Sturm, Bertrand Charpentier, Daniel Zügner, 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

ICLR 2023 Revisiting Robustness in Graph Machine Learning Lukas Gosch, Daniel Sturm, Simon Geisler, Stephan Günnemann

NeurIPSW 2022 Revisiting Robustness in Graph Machine Learning Lukas Gosch, Daniel Sturm, Simon Geisler, Stephan Günnemann

NeurIPSW 2022 Revisiting Robustness in Graph Machine Learning Lukas Gosch, Daniel Sturm, Simon Geisler, Stephan Günnemann

NeurIPSW 2022 Training Differentially Private Graph Neural Networks with Random Walk Sampling Morgane Ayle, Jan Schuchardt, Lukas Gosch, Daniel Zügner, Stephan Günnemann