Sep 8, 2018 · Comprehensive attacks, including unlimited attack, direct attack and indirect attack, are performed on six well-known network embedding methods.

Topics · Fast Gradient Attack · Nettack · Network Embed · Community Detection · Link Prediction · Adversarial Attacks · Deep Learning Model · Adversarial Networks ...

Missing: Embedding. | Show results with:Embedding.

Adversarial Attacks on Node Embeddings · Fast Gradient Attack on Network Embedding · Link Prediction Adversarial Attack · Attack Graph Convolutional Networks by ...

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In this paper, we are interested in the possibility of defense against adversarial attack on network, and propose defense strategies for GNNs against attacks.

Mar 11, 2019 · In this paper, we are interested in the possibility of defense against adversarial attack on network, and propose defense strategies for GNNs ...

It further pro- posed Fast Gradient Attack (FGA) [14], which utilized the gradient of algorithm to design loss function. FGA model can generate adversarial ...

Sentence-level attacks, usually based on paraphrasing, de- mand longer time in adversary generation. For word-level attack, replacing word based on embedding ...

The aim of network embedding is to transform discrete network structure information into compact embedding ... Chen et al. Fast gradient attack on network ...