KDDCup 2020 - Track 2 - Adversarial Attacks and Defense on Academic Graph

https://www.biendata.xyz/competition/kddcup_2020_formal/

The challenge: Creating an attacker (i.e., a modified input consisting of graph structure (adjacency matrix) and node features (embedding vectors)) and a defender (i.e., a robust Graph Neural Network model). The organizers will match all attackers and defenders from all teams and rank the final leaderboard.

Final result: 7th

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REFERENCES

Some Relevant Papers/Articles

Paper (year)	Category	Link
Semi-supervised Classification with Graph Convolutional Networks (GCN) (2017)	graph_neural_network	https://arxiv.org/pdf/1609.02907.pdf
Adversarial Examples on Graph Data: Deep Insights into Attack and Defense (2019)	attack,defense	https://arxiv.org/pdf/1903.01610.pdf
Type of Attacks in ML	attack	https://towardsdatascience.com/how-to-attack-machine-learning-evasion-poisoning-inference-trojans-backdoors-a7cb5832595c
Adversarial Attacks on Neural Networks for Graph Data (Nettack) (2018)	attack	https://arxiv.org/pdf/1805.07984.pdf
Attacking Graph-based Classification via Manipulating theGraph Structure (2019)	attack	https://arxiv.org/pdf/1903.00553.pdf
Backdoor Attacks to Graph Neural Networks (2020)	attack,defense	https://arxiv.org/pdf/2006.11165.pdf
Inductive Representation Learning on Large Graphs (GraphSAGE) (2017)	graph_neural_network	https://cs.stanford.edu/people/jure/pubs/graphsage-nips17.pdf
Adversarial Attack on Graph Structured Data (2018)	attack	https://arxiv.org/pdf/1806.02371.pdf
Practical Attacks Against Graph-based Clustering (2017)	attack	https://arxiv.org/pdf/1708.09056.pdf
Adversarial Attack and Defense on Graph Data: A Survey (2020)	attack,defense	https://arxiv.org/pdf/1812.10528.pdf
HOW POWERFUL ARE GRAPH NEURAL NETWORKS? (2019)	graph_neural_network	https://arxiv.org/pdf/1810.00826.pdf
A Comprehensive Survey on Graph Neural Networks (2019)	graph_neural_network	https://arxiv.org/pdf/1901.00596.pdf

Other Resources

• https://github.com/yenchenlin/awesome-adversarial-machine-learning
• https://stellargraph.readthedocs.io/en/stable/demos/index.html#find-algorithms-for-a-task
• https://adversarial-ml-tutorial.org/
• CS224W: Machine Learning with Graphs (Stanford - Fall 2019) [Course] [Videos]