Towards Adversarially Robust Knowledge Graph Embeddings
Knowledge graph embedding models enable representation learning on multi-relational graphs and are used in security sensitive domains. But, their security analysis has received little attention. I will research security of these models by designing adversarial attacks against them, improving their adversarial robustness and evaluating the effect of proposed improvement on their interpretability.
How to Cite
Bhardwaj, P. (2020). Towards Adversarially Robust Knowledge Graph Embeddings. Proceedings of the AAAI Conference on Artificial Intelligence, 34(10), 13712-13713. https://doi.org/10.1609/aaai.v34i10.7128
Doctoral Consortium Track