Generating adversarial examples with graph neural networks
Recent years have witnessed the deployment of adversarial attacks to evaluate the robustness of Neural Networks. Past work in this field has relied on traditional optimization algorithms that ignore the inherent structure of the problem and data, or generative methods that rely purely on learning an...
| Autores principales: | , |
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| Formato: | Conference item |
| Lenguaje: | English |
| Publicado: |
PMLR
2021
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