Simon Geisler

CoRR, 2024

Relaxing Graph Transformers for Adversarial Attacks.

[BibT_eX]

[DOI]

CoRR, 2024

Explainable Graph Neural Networks Under Fire.

[BibT_eX]

[DOI]

CoRR, 2024

Spatio-Spectral Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Attacking Large Language Models with Projected Gradient Descent.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Poisoning × Evasion: Symbiotic Adversarial Robustness for Graph Neural Networks.

[BibT_eX]

[DOI]

Ege Erdogan

CoRR, 2023

On the Adversarial Robustness of Graph Contrastive Learning Methods.

[BibT_eX]

[DOI]

CoRR, 2023

Adversarial Training for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Transformers Meet Directed Graphs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Revisiting Robustness in Graph Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

2022

Better, Faster Small Hazard Detection: Instance-Aware Techniques, Metrics and Benchmarking.

[BibT_eX]

[DOI]

Carlos Cunha

Ravi Kumar Satzoda

IEEE Trans. Intell. Transp. Syst., 2022

On the Robustness and Anomaly Detection of Sparse Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks.

[BibT_eX]

[DOI]

Yan Scholten

Jan Schuchardt

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Are Defenses for Graph Neural Networks Robust?

[BibT_eX]

[DOI]

Felix Mujkanovic

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Winning the Lottery Ahead of Time: Efficient Early Network Pruning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness.

[BibT_eX]

[DOI]

Johanna Sommer

Jan Schuchardt

Proceedings of the Tenth International Conference on Learning Representations, 2022

Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robustness of Graph Neural Networks at Scale.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Reliable Graph Neural Networks via Robust Aggregation.

[BibT_eX]

[DOI]

Daniel Zügner

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

Time-Series Features for Predictive Policing.

[BibT_eX]

[DOI]

Leonardo C. T. Bezerra