Transferring Robustness for Graph Neural Network Against Poisoning Attacks

WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining Houston TX USA February, 2020, pp. 600-608, 2020.

Cited by: 14|Views79
EI

Abstract:

Graph neural networks (GNNs) are widely used in many applications. However, their robustness against adversarial attacks is criticized. Prior studies show that using unnoticeable modifications on graph topology or nodal features can significantly reduce the performances of GNNs. It is very challenging to design robust graph neural network...More

Code:

Data:

Get fulltext within 24h
Bibtex
Upload PDF

1.Your uploaded documents will be check within 24h, and coins will be credited to your account.

2.As the current system does not support cash withdrawal, you can add staff WeChat (AMxiaomai) to receive it as a red packet.

3.10 coins will be exchanged for 1 yuan.

?

Upload a single paper

for 5 coins

Wechat's Red Packet
?

Upload 50 articles

for 250 coins

Wechat's Red Packet
?

Upload 200 articles

for 1000 coins

Wechat's Red Packet
?

Upload 500 articles

for 2500 coins

Wechat's Red Packet
?

Upload 1000 articles

for 5000 coins

Wechat's Red Packet
Your rating :
0

 

Tags
Comments