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Lukas Gosch
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2020 – today
- 2024
- [i7]Lukas Gosch, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar, Stephan Günnemann:
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks. CoRR abs/2407.10867 (2024) - [i6]Philipp Foth, Lukas Gosch, Simon Geisler, Leo Schwinn, Stephan Günnemann:
Relaxing Graph Transformers for Adversarial Attacks. CoRR abs/2407.11764 (2024) - 2023
- [c2]Lukas Gosch, Daniel Sturm, Simon Geisler, Stephan Günnemann:
Revisiting Robustness in Graph Machine Learning. ICLR 2023 - [c1]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 - [i5]Morgane Ayle, Jan Schuchardt, Lukas Gosch, Daniel Zügner, Stephan Günnemann:
Training Differentially Private Graph Neural Networks with Random Walk Sampling. CoRR abs/2301.00738 (2023) - [i4]Lukas Gosch, Daniel Sturm, Simon Geisler, Stephan Günnemann:
Revisiting Robustness in Graph Machine Learning. CoRR abs/2305.00851 (2023) - [i3]Lukas Gosch, Simon Geisler, Daniel Sturm, Bertrand Charpentier, Daniel Zügner, Stephan Günnemann:
Adversarial Training for Graph Neural Networks. CoRR abs/2306.15427 (2023) - [i2]Francesco Campi, Lukas Gosch, Tom Wollschläger, Yan Scholten, Stephan Günnemann:
Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness. CoRR abs/2308.08173 (2023) - [i1]Marcel Kollovieh, Lukas Gosch, Yan Scholten, Marten Lienen, Stephan Günnemann:
Assessing Robustness via Score-Based Adversarial Image Generation. CoRR abs/2310.04285 (2023) - 2021
- [j1]Roman Feldbauer
, Lukas Gosch, Lukas Lüftinger
DeepNOG: fast and accurate protein orthologous group assignment. Bioinform. 36(22-23): 5304-5312 (2021)
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