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Towards Reasonable Budget Allocation in Untargeted Graph Structure
  Attacks via Gradient Debias

Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias

29 March 2023
Zihan Liu
Yun Luo
Lirong Wu
Zicheng Liu
Stan Z. Li
    AAML
ArXivPDFHTML

Papers citing "Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias"

14 / 14 papers shown
Title
SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks
SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks
Xing Ai
Guanyu Zhu
Yulin Zhu
Yu Zheng
Gaolei Li
Jianhua Li
Kai Zhou
AAML
26
0
0
29 Aug 2024
Debiased Graph Poisoning Attack via Contrastive Surrogate Objective
Debiased Graph Poisoning Attack via Contrastive Surrogate Objective
Kanghoon Yoon
Yeonjun In
Namkyeong Lee
Kibum Kim
Chanyoung Park
AAML
23
2
0
27 Jul 2024
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
36
1
0
25 Jul 2024
AGSOA:Graph Neural Network Targeted Attack Based on Average Gradient and
  Structure Optimization
AGSOA:Graph Neural Network Targeted Attack Based on Average Gradient and Structure Optimization
Yang Chen
Bin Zhou
AAML
37
0
0
19 Jun 2024
A General Black-box Adversarial Attack on Graph-based Fake News
  Detectors
A General Black-box Adversarial Attack on Graph-based Fake News Detectors
Peican Zhu
Zechen Pan
Yang Liu
Jiwei Tian
Keke Tang
Zhen Wang
AAML
27
10
0
24 Apr 2024
Collective Certified Robustness against Graph Injection Attacks
Collective Certified Robustness against Graph Injection Attacks
Y. Lai
Bailin Pan
Kaihuang Chen
Yancheng Yuan
Kai Zhou
AAML
35
2
0
03 Mar 2024
Node-aware Bi-smoothing: Certified Robustness against Graph Injection
  Attacks
Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks
Y. Lai
Yulin Zhu
Bailin Pan
Kai Zhou
AAML
36
6
0
07 Dec 2023
Momentum Gradient-based Untargeted Attack on Hypergraph Neural Networks
Momentum Gradient-based Untargeted Attack on Hypergraph Neural Networks
Yang Chen
S. Picek
Zhonglin Ye
Zhaoyang Wang
Haixing Zhao
21
0
0
24 Oct 2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks
Haoran Liu
Bokun Wang
Jianling Wang
Xiangjue Dong
Tianbao Yang
James Caverlee
AAML
26
3
0
29 Aug 2023
Simple and Efficient Partial Graph Adversarial Attack: A New Perspective
Simple and Efficient Partial Graph Adversarial Attack: A New Perspective
Guanghui Zhu
Meng Chen
C. Yuan
Y. Huang
AAML
18
6
0
15 Aug 2023
Transferable Adversarial Attacks on Vision Transformers with Token
  Gradient Regularization
Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization
Jianping Zhang
Yizhan Huang
Weibin Wu
Michael R. Lyu
AAML
ViT
18
48
0
28 Mar 2023
Improving the Transferability of Adversarial Samples by Path-Augmented
  Method
Improving the Transferability of Adversarial Samples by Path-Augmented Method
Jianping Zhang
Jen-tse Huang
Wenxuan Wang
Yichen Li
Weibin Wu
Xiaosen Wang
Yuxin Su
Michael R. Lyu
AAML
43
50
0
28 Mar 2023
Improving (Dis)agreement Detection with Inductive Social Relation
  Information From Comment-Reply Interactions
Improving (Dis)agreement Detection with Inductive Social Relation Information From Comment-Reply Interactions
Yun Luo
Zihan Liu
Stan Z. Li
Yue Zhang
8
7
0
08 Feb 2023
What Does the Gradient Tell When Attacking the Graph Structure
What Does the Gradient Tell When Attacking the Graph Structure
Zihan Liu
Ge Wang
Yun Luo
Stan Z. Li
AAML
9
2
0
26 Aug 2022
1