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Data Poisoning Attack against Knowledge Graph Embedding

Data Poisoning Attack against Knowledge Graph Embedding

26 April 2019
Hengtong Zhang
T. Zheng
Jing Gao
Chenglin Miao
Lu Su
Yaliang Li
K. Ren
    KELM
ArXivPDFHTML

Papers citing "Data Poisoning Attack against Knowledge Graph Embedding"

15 / 15 papers shown
Title
Explaining Graph Neural Networks for Node Similarity on Graphs
Explaining Graph Neural Networks for Node Similarity on Graphs
Daniel Daza
C. Chu
T. Tran
Daria Stepanova
Michael Cochez
Paul T. Groth
36
1
0
10 Jul 2024
From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures with KGEPrisma
From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures with KGEPrisma
Christoph Wehner
Chrysa Iliopoulou
Ute Schmid
Tarek R. Besold
60
0
0
03 Jun 2024
TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph
  Generalisation via Simulated KGE Models
TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models
J. Sardina
John D. Kelleher
Declan O’Sullivan
23
0
0
08 Feb 2024
Poisoning $\times$ Evasion: Symbiotic Adversarial Robustness for Graph
  Neural Networks
Poisoning ×\times× Evasion: Symbiotic Adversarial Robustness for Graph Neural Networks
Ege Erdogan
Simon Geisler
Stephan Günnemann
AAML
24
0
0
09 Dec 2023
Taxonomy of AISecOps Threat Modeling for Cloud Based Medical Chatbots
Taxonomy of AISecOps Threat Modeling for Cloud Based Medical Chatbots
Ruby Annette Jayaseela Dhanaraj
W. Banu
S. SharonPriya
Subash Chandran
21
3
0
18 May 2023
Analysis of Label-Flip Poisoning Attack on Machine Learning Based
  Malware Detector
Analysis of Label-Flip Poisoning Attack on Machine Learning Based Malware Detector
Kshitiz Aryal
Maanak Gupta
Mahmoud Abdelsalam
AAML
20
18
0
03 Jan 2023
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and
  Privacy Protection
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
Bingzhe Wu
Jintang Li
Junchi Yu
Yatao Bian
Hengtong Zhang
...
Guangyu Sun
Peng Cui
Zibin Zheng
Zhe Liu
P. Zhao
OOD
39
25
0
20 May 2022
Random Walks for Adversarial Meshes
Random Walks for Adversarial Meshes
Amir Belder
Gal Yefet
Ran Ben Izhak
A. Tal
AAML
30
2
0
15 Feb 2022
Unsupervised Graph Poisoning Attack via Contrastive Loss
  Back-propagation
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation
Sixiao Zhang
Hongxu Chen
Xiangguo Sun
Yicong Li
Guandong Xu
AAML
SSL
25
42
0
20 Jan 2022
Task and Model Agnostic Adversarial Attack on Graph Neural Networks
Task and Model Agnostic Adversarial Attack on Graph Neural Networks
Kartik Sharma
S. Verma
Sourav Medya
Arnab Bhattacharya
Sayan Ranu
AAML
21
8
0
25 Dec 2021
Poisoning Knowledge Graph Embeddings via Relation Inference Patterns
Poisoning Knowledge Graph Embeddings via Relation Inference Patterns
Peru Bhardwaj
John D. Kelleher
Luca Costabello
Declan O’Sullivan
107
20
0
11 Nov 2021
Adversarial Attacks on Knowledge Graph Embeddings via Instance
  Attribution Methods
Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods
Peru Bhardwaj
John D. Kelleher
Luca Costabello
Declan O’Sullivan
16
20
0
04 Nov 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Xingjun Ma
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
183
355
0
07 Dec 2020
Model Extraction Attacks on Graph Neural Networks: Taxonomy and
  Realization
Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization
Bang Wu
Xiangwen Yang
Shirui Pan
Xingliang Yuan
MIACV
MLAU
55
53
0
24 Oct 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
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