Andrew Docherty

Graph Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Graph Learning — 9 citations into it

Whom Andrew Docherty trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Stephan Günnemann (in Graph Learning)

Papers from Andrew Docherty's perspective

Ordered by how strongly the researchers Andrew Docherty trusts endorse each paper. Same corpus, a different order for every researcher.

1. Explaining and Harnessing Adversarial Examples
2. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
3. Spectral Networks and Locally Connected Networks on Graphs
4. The Limitations of Deep Learning in Adversarial Settings
5. Deep Convolutional Networks on Graph-Structured Data
6. Ensemble Adversarial Training: Attacks and Defenses
7. Axiomatic Attribution for Deep Networks
8. Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks
9. Adversarial Attacks on Neural Networks for Graph Data
10. Mitigating adversarial effects through randomization

Their papers

• Adversarial Examples on Graph Data: Deep Insights into Attack and Defense (2019) — 514 citations