| Title | Type | Venue | Code | Year | State | Date | |
|---|---|---|---|---|---|---|---|
| 0 | Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data | ⚖Stability | 📝arXiv'2021 | 2021 | Removed | 2023-11-07 | |
| 1 | (Provable) Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More | 🔐Certification | 📝NeurIPS'2023 |  Code |
2023 | Added | 2023-11-07 |
| 2 | Hierarchical Randomized Smoothing | 🔐Certification | 📝NeurIPS'2023 | Code |
2023 | Added | 2023-11-07 |
| 3 | Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions | 🛡Defense | 📝NeurIPS | Code |
2023 | Added | 2023-11-07 |
| 4 | Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data | ⚖Stability | 📝NeurIPS'2021 | Code |
2021 | Added | 2023-11-07 |