Adversarial Attack and Defense on Graph Data: A Survey

26 December 2018

Lichao Sun

Philip S. Yu

Papers citing "Adversarial Attack and Defense on Graph Data: A Survey"

34 / 34 papers shown

Title
Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks Junyuan Fang Han Yang Haixian Wen Jiajing Wu Zibin Zheng Chi K. Tse AAML 41 0 0 29 Apr 2025
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 83 19 0 28 Jan 2025
On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications Hyeonsoo Jo Hyunjin Hwang Fanchen Bu Soo Yong Lee Chanyoung Park Kijung Shin AAML 28 1 0 10 Jan 2025
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 37 2 0 28 Oct 2024
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning Naheed Anjum Arafat D. Basu Yulia R. Gel Yuzhou Chen AAML 39 0 0 21 Sep 2024
Bayesian Optimization of Functions over Node Subsets in Graphs Huidong Liang Xingchen Wan Xiaowen Dong 40 1 0 24 May 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 48 0 0 13 Mar 2024
Uncertainty in Graph Neural Networks: A Survey Fangxin Wang Yuqing Liu Kay Liu Yibo Wang Sourav Medya Philip S. Yu AI4CE 43 8 0 11 Mar 2024
Fooling Neural Networks for Motion Forecasting via Adversarial Attacks Edgar Medina Leyong Loh AAML 27 0 0 07 Mar 2024
Robust Node Representation Learning via Graph Variational Diffusion Networks Jun Zhuang M. A. Hasan 8 7 0 18 Dec 2023
Hypergraph-MLP: Learning on Hypergraphs without Message Passing Bohan Tang Siheng Chen Xiaowen Dong 24 5 0 15 Dec 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems Guangjing Wang Ce Zhou Yuanda Wang Bocheng Chen Hanqing Guo Qiben Yan AAML SILM 46 3 0 20 Nov 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu-Chiang Frank Wang Olivera Kotevska Philip S. Yu Tyler Derr 18 9 0 31 Aug 2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks Haoran Liu Bokun Wang Jianling Wang Xiangjue Dong Tianbao Yang James Caverlee AAML 23 3 0 29 Aug 2023
Node Injection Link Stealing Attack Oualid Zari Javier Parra-Arnau Ayşe Ünsal Melek Önen 20 2 0 25 Jul 2023
A Survey on Malware Detection with Graph Representation Learning Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 8 20 0 28 Mar 2023
Graph-based Knowledge Distillation: A survey and experimental evaluation Jing Liu Tongya Zheng Guanzheng Zhang Qinfen Hao 17 8 0 27 Feb 2023
On the Robustness of Explanations of Deep Neural Network Models: A Survey Amlan Jyoti Karthik Balaji Ganesh Manoj Gayala Nandita Lakshmi Tunuguntla Sandesh Kamath V. Balasubramanian XAI FAtt AAML 17 4 0 09 Nov 2022
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation Jun Zhuang M. Hasan 17 20 0 21 Aug 2022
Transferable Graph Backdoor Attack Shuiqiao Yang Bao Gia Doan Paul Montague O. Vel Tamas Abraham S. Çamtepe D. Ranasinghe S. Kanhere AAML 27 36 0 21 Jun 2022
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks Yu-Lin Zhuang Lingjuan Lyu Chuan Shi Carl Yang Lichao Sun 14 16 0 08 May 2022
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art Xiang Ling Lingfei Wu Jiangyu Zhang Zhenqing Qu Wei Deng ... Chunming Wu S. Ji Tianyue Luo Jingzheng Wu Yanjun Wu AAML 21 71 0 23 Dec 2021
Model Stealing Attacks Against Inductive Graph Neural Networks Yun Shen Xinlei He Yufei Han Yang Zhang 14 60 0 15 Dec 2021
Poisoning Knowledge Graph Embeddings via Relation Inference Patterns Peru Bhardwaj John D. Kelleher Luca Costabello Declan O’Sullivan 32 20 0 11 Nov 2021
Elastic Graph Neural Networks Xiaorui Liu W. Jin Yao Ma Yaxin Li Hua Liu Yiqi Wang Ming Yan Jiliang Tang 84 106 0 05 Jul 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 23 113 0 16 Dec 2020
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation Mrigank Raman Aaron Chan Siddhant Agarwal Peifeng Wang Hansen Wang Sungchul Kim Ryan Rossi Handong Zhao Nedim Lipka Xiang Ren 28 19 0 24 Oct 2020
Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers I. Fursov A. Zaytsev Nikita Klyuchnikov A. Kravchenko E. Burnaev AAML SILM 16 5 0 19 Jun 2020
Stealing Links from Graph Neural Networks Xinlei He Jinyuan Jia Michael Backes Neil Zhenqiang Gong Yang Zhang AAML 53 164 0 05 May 2020
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing Jinyuan Jia Binghui Wang Xiaoyu Cao Neil Zhenqiang Gong AAML 76 81 0 09 Feb 2020
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 15 1,311 0 11 Dec 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 278 10,544 0 19 Feb 2017