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Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial
  Attacks on Graphs
v1v2v3 (latest)

Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs

AAAI Conference on Artificial Intelligence (AAAI), 2020
12 December 2020
Jiarong Xu
Luke Huan
Xin Jiang
Yanhao Wang
Yang Yang
Chunping Wang
Jiangang Lu
    AAML
ArXiv (abs)PDFHTML

Papers citing "Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs"

3 / 3 papers shown
Can Graph Neural Networks Expose Training Data Properties? An Efficient
  Risk Assessment Approach
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment ApproachNeural Information Processing Systems (NeurIPS), 2024
Hanyang Yuan
Jiarong Xu
Renhong Huang
Mingli Song
Chunping Wang
Yang Yang
AAML
256
3
0
06 Nov 2024
Unveiling Privacy Vulnerabilities: Investigating the Role of Structure
  in Graph Data
Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data
Hanyang Yuan
Jiarong Xu
Cong Wang
Ziqi Yang
Chunping Wang
Keting Yin
Yang Yang
319
9
0
26 Jul 2024
CogDL: A Comprehensive Library for Graph Deep Learning
CogDL: A Comprehensive Library for Graph Deep LearningThe Web Conference (WWW), 2021
Yukuo Cen
Zhenyu Hou
Yan Wang
Qibin Chen
Yi Luo
...
Guohao Dai
Yu Wang
Chang Zhou
Hongxia Yang
Jie Tang
GNNAI4CE
443
25
0
01 Mar 2021
1
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