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Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based
  Vertical Federated Learning
v1v2 (latest)

Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated Learning

13 October 2021
Jinyin Chen
Guohan Huang
Haibin Zheng
Shanqing Yu
Wenrong Jiang
Chen Cui
    AAMLFedML
ArXiv (abs)PDFHTMLGithub (13★)

Papers citing "Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated Learning"

18 / 18 papers shown
Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses
Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses
Lincan Li
Bolin Shen
Chenxi Zhao
Yuxiang Sun
Kaixiang Zhao
Shirui Pan
Yushun Dong
181
1
0
27 Aug 2025
VGFL-SA: Vertical Graph Federated Learning Structure Attack Based on Contrastive Learning
VGFL-SA: Vertical Graph Federated Learning Structure Attack Based on Contrastive Learning
Yang Chen
Bin Zhou
AAMLFedML
197
1
0
24 Feb 2025
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
Liekang Zeng
Shengyuan Ye
Xu Chen
Xiaoxi Zhang
Ju Ren
Jian Tang
Yang Yang
Xuemin
Shen
500
12
0
08 Jan 2025
Query-Efficient Adversarial Attack Against Vertical Federated Graph
  Learning
Query-Efficient Adversarial Attack Against Vertical Federated Graph Learning
Jinyin Chen
Wenbo Mu
Luxin Zhang
Guohan Huang
Haibin Zheng
Yao Cheng
FedMLAAML
264
1
0
05 Nov 2024
Backdoor Attack on Vertical Federated Graph Neural Network Learning
Backdoor Attack on Vertical Federated Graph Neural Network LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Jirui Yang
Peng Chen
Zhihui Lu
Ruijun Deng
Qiang Duan
Jianping Zeng
AAMLFedML
914
1
0
15 Oct 2024
Evolving Topics in Federated Learning: Trends, and Emerging Directions
  for IS
Evolving Topics in Federated Learning: Trends, and Emerging Directions for IS
Md Raihan Uddin
Gauri Shankar
Saddam Hossain Mukta
Prabhat Kumar
Najmul Islam
FedML
152
2
0
24 Sep 2024
SpreadFGL: Edge-Client Collaborative Federated Graph Learning with
  Adaptive Neighbor Generation
SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation
Luying Zhong
Yueyang Pi
Zheyi Chen
Zhengxin Yu
Wang Miao
Xing Chen
Geyong Min
FedML
255
7
0
14 Jul 2024
Node Injection Attack Based on Label Propagation Against Graph Neural
  Network
Node Injection Attack Based on Label Propagation Against Graph Neural Network
Peican Zhu
Zechen Pan
Keke Tang
Xiaodong Cui
Jinhuan Wang
Qi Xuan
AAML
226
5
0
29 May 2024
Vertical Federated Learning for Effectiveness, Security, Applicability:
  A Survey
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey
Mang Ye
Wei Shen
Bo Du
E. Snezhko
Vassili Kovalev
PongChi Yuen
FedML
304
22
0
25 May 2024
Safety in Graph Machine Learning: Threats and Safeguards
Safety in Graph Machine Learning: Threats and Safeguards
Song Wang
Yushun Dong
Binchi Zhang
Zihan Chen
Xingbo Fu
Yinhan He
Cong Shen
Chuxu Zhang
Nitesh Chawla
Wenlin Yao
287
11
0
17 May 2024
Label Inference Attacks against Node-level Vertical Federated GNNs
Label Inference Attacks against Node-level Vertical Federated GNNs
Marco Arazzi
Mauro Conti
Stefanos Koffas
Marina Krček
Antonino Nocera
S. Picek
Jing Xu
FedMLAAML
284
1
0
04 Aug 2023
Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated
  Graph Neural Network
Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network
Fan Liu
Siqi Lai
Yansong Ning
Hao Liu
AAMLFedML
209
4
0
17 Jun 2023
Universal Adversarial Backdoor Attacks to Fool Vertical Federated
  Learning in Cloud-Edge Collaboration
Universal Adversarial Backdoor Attacks to Fool Vertical Federated Learning in Cloud-Edge CollaborationComputers & security (Comput. Secur.), 2023
Peng Chen
Xin Du
Zhihui Lu
Hongfeng Chai
FedMLAAML
173
19
0
22 Apr 2023
A Survey on Vertical Federated Learning: From a Layered Perspective
A Survey on Vertical Federated Learning: From a Layered Perspective
Liu Yang
Di Chai
Junxue Zhang
Yilun Jin
Leye Wang
Hao Liu
Han Tian
Qian Xu
Kai Chen
FedML
248
41
0
04 Apr 2023
Vertical Federated Learning: Taxonomies, Threats, and Prospects
Vertical Federated Learning: Taxonomies, Threats, and Prospects
Qun Li
Chandra Thapa
Lawrence Ong
Yifeng Zheng
Hua Ma
S. Çamtepe
Anmin Fu
Yan Gao
FedML
266
14
0
03 Feb 2023
Vertical Federated Learning: Concepts, Advances and Challenges
Vertical Federated Learning: Concepts, Advances and ChallengesIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Yang Liu
Weijing Chen
Tianyuan Zou
Yanhong Pu
Yuanqin He
Xiaozhou Ye
Ye Ouyang
Yaqin Zhang
Qian Yang
FedML
478
288
0
23 Nov 2022
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and
  Applications
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and ApplicationsSIGKDD Explorations (SIGKDD Explor.), 2022
Xingbo Fu
Binchi Zhang
Yushun Dong
Chen Chen
Jundong Li
FedMLOODAI4CE
342
57
0
24 Jul 2022
Federated Graph Neural Networks: Overview, Techniques and Challenges
Federated Graph Neural Networks: Overview, Techniques and ChallengesIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
R. Liu
Pengwei Xing
Zichao Deng
Anran Li
Cuntai Guan
Han Yu
FedML
352
133
0
15 Feb 2022
1