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Everything Perturbed All at Once: Enabling Differentiable Graph Attacks

Everything Perturbed All at Once: Enabling Differentiable Graph Attacks

29 August 2023
Haoran Liu
Bokun Wang
Jianling Wang
Xiangjue Dong
Tianbao Yang
James Caverlee
    AAML
ArXivPDFHTML

Papers citing "Everything Perturbed All at Once: Enabling Differentiable Graph Attacks"

5 / 5 papers shown
Title
RIDA: A Robust Attack Framework on Incomplete Graphs
RIDA: A Robust Attack Framework on Incomplete Graphs
Jianke Yu
Hanchen Wang
Chen Chen
Xiaoyang Wang
Wenjie Zhang
Ying Zhang
Ying Zhang
Xijuan Liu
GNN
OOD
AAML
34
1
0
25 Jul 2024
Deceptive Fairness Attacks on Graphs via Meta Learning
Deceptive Fairness Attacks on Graphs via Meta Learning
Jian Kang
Yinglong Xia
Ross Maciejewski
Jiebo Luo
Hanghang Tong
29
4
0
24 Oct 2023
Universal Fourier Attack for Time Series
Universal Fourier Attack for Time Series
Elizabeth Coda
B. Clymer
Chance N. DeSmet
Y. Watkins
Michael Girard
17
1
0
02 Sep 2022
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
145
828
0
28 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,568
0
09 Mar 2017
1