A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning

Neural Information Processing Systems (NeurIPS), 2019

30 October 2019

Papers citing "A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning"

46 / 46 papers shown

Title
Adverseness vs. Equilibrium: Exploring Graph Adversarial Resilience through Dynamic Equilibrium Xinxin Fan Wenxiong Chen Mengfan Li Wenqi Wei Ling Liu AAML 131 0 0 20 May 2025
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary PerturbationsComputer Vision and Pattern Recognition (CVPR), 2025 Jiate Li Meng Pang Yun Dong Binghui Wang AAML 249 1 0 24 Mar 2025
Robust Semi-Supervised Learning in Open Environments Lan-Zhe Guo Lin-Han Jia Jie-Jing Shao Yu-Feng Li OffRL 147 7 0 24 Dec 2024
Practicable Black-box Evasion Attacks on Link Prediction in Dynamic Graphs -- A Graph Sequential Embedding MethodAAAI Conference on Artificial Intelligence (AAAI), 2024 Jiate Li Meng Pang Binghui Wang AAML 201 2 0 17 Dec 2024
Phantom: Untargeted Poisoning Attacks on Semi-Supervised Learning (Full Version)Conference on Computer and Communications Security (CCS), 2024 Jonathan Knauer Phillip Rieger Hossein Fereidooni A. Sadeghi AAML 169 0 0 02 Sep 2024
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 333 2 0 25 Jul 2024
On the Robustness of Graph Reduction Against GNN Backdoor Yuxuan Zhu Michael Mandulak Kerui Wu George Slota Yuseok Jeon Ka-Ho Chow Lei Yu AAML 166 3 0 02 Jul 2024
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections Zihan Luo Hong Huang Yongkang Zhou Jiping Zhang Nuo Chen 185 4 0 05 Jun 2024
Adversary-Robust Graph-Based Learning of WSIs Saba Heidari Gheshlaghi Milan Aryal Nasim Yahyasoltani Masoud Ganji OOD AAML 198 1 0 21 Mar 2024
Minimum Topology Attacks for Graph Neural Networks Mengmei Zhang Tianlin Li Chuan Shi Lingjuan Lyu Tianchi Yang Junping Du AAML 150 10 0 05 Mar 2024
Explainability-Based Adversarial Attack on Graphs Through Edge Perturbation Dibaloke Chanda Saba Heidari Gheshlaghi Nasim Yahya Soltani AAML 121 2 0 28 Dec 2023
Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity VerificationIEEE Symposium on Security and Privacy (S&P), 2023 Bang Wu Lizhen Qu Shuo Wang Qi Li Minhui Xue Shirui Pan 210 10 0 13 Dec 2023
Sparse but Strong: Crafting Adversarially Robust Graph Lottery Tickets Subhajit Dutta Chowdhury Zhiyu Ni Qingyuan Peng Souvik Kundu Pierluigi Nuzzo 167 3 0 11 Dec 2023
GraphCloak: Safeguarding Task-specific Knowledge within Graph-structured Data from Unauthorized Exploitation Yixin Liu Chenrui Fan Xun Chen Pan Zhou Lichao Sun 190 4 0 11 Oct 2023
Everything Perturbed All at Once: Enabling Differentiable Graph AttacksThe Web Conference (WWW), 2023 Haoran Liu Bokun Wang Jianling Wang Xiangjue Dong Tianbao Yang James Caverlee AAML 195 3 0 29 Aug 2023
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic GraphsAAAI Conference on Artificial Intelligence (AAAI), 2023 Dongjin Lee Juho Lee Kijung Shin AAML 237 4 0 21 Aug 2023
Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review Mathias Lundteigen Mohus Jinyue Li AAML 181 2 0 01 Jun 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial RobustnessACM Computing Surveys (ACM Comput. Surv.), 2023 Peiyu Xiong Michael W. Tegegn Jaskeerat Singh Sarin Shubhraneel Pal Julia Rubin SILM AAML 294 14 0 17 Mar 2023
Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2023 Binghui Wang Meng Pang Yun Dong AAML 124 17 0 10 Mar 2023
Robust Mid-Pass Filtering Graph Convolutional NetworksThe Web Conference (WWW), 2023 Jincheng Huang Lun Du Xu Chen Qiang Fu Shi Han Dongmei Zhang AAML 155 50 0 16 Feb 2023
GUAP: Graph Universal Attack Through Adversarial Patching Xiao Zang Jie Chen Bo Yuan AAML 109 4 0 04 Jan 2023
Analysis of Label-Flip Poisoning Attack on Machine Learning Based Malware Detector Kshitiz Aryal Maanak Gupta Mahmoud Abdelsalam AAML 131 26 0 03 Jan 2023
Rethinking Backdoor Data Poisoning Attacks in the Context of Semi-Supervised Learning Marissa Connor Vincent Emanuele SILM AAML 126 1 0 05 Dec 2022
Model Inversion Attacks against Graph Neural NetworksIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 Zaixin Zhang Qi Liu Zhenya Huang Hao Wang Cheekong Lee Enhong AAML 163 48 0 16 Sep 2022
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data PoisoningACM Computing Surveys (ACM CSUR), 2022 Antonio Emanuele Cinà Kathrin Grosse Ambra Demontis Sebastiano Vascon Werner Zellinger Bernhard A. Moser Alina Oprea Battista Biggio Marcello Pelillo Fabio Roli AAML 294 163 0 04 May 2022
Task and Model Agnostic Adversarial Attack on Graph Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2021 Kartik Sharma S. Verma Sourav Medya Arnab Bhattacharya Jignesh M. Patel AAML 208 13 0 25 Dec 2021
A Survey on Adversarial Attacks for Malware AnalysisIEEE Access (IEEE Access), 2021 Kshitiz Aryal Maanak Gupta Mahmoud Abdelsalam AAML 238 64 0 16 Nov 2021
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks Jiaming Mu Binghui Wang Qi Li Kun Sun Mingwei Xu Zhuotao Liu AAML 135 45 0 21 Aug 2021
Poisoning Attack against Estimating from Pairwise Comparisons Ke Ma Qianqian Xu Jinshan Zeng Xiaochun Cao Qingming Huang AAML 157 28 0 05 Jul 2021
Poisoning and Backdooring Contrastive LearningInternational Conference on Learning Representations (ICLR), 2021 Nicholas Carlini Seth Neel 293 193 0 17 Jun 2021
Poisoning the Unlabeled Dataset of Semi-Supervised LearningUSENIX Security Symposium (USENIX Security), 2021 Nicholas Carlini AAML 335 77 0 04 May 2021
Graph-based Semi-supervised Learning: A Comprehensive ReviewIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 Zixing Song Xiangli Yang Zenglin Xu Irwin King 257 259 0 26 Feb 2021
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial TrainingNeural Information Processing Systems (NeurIPS), 2021 Lue Tao Lei Feng Jinfeng Yi Sheng-Jun Huang Songcan Chen AAML 378 81 0 09 Feb 2021
Influence-Driven Data Poisoning in Graph-Based Semi-Supervised Classifiers Adriano Franci Maxime Cordy Martin Gubri Mike Papadakis Yves Le Traon AAML 138 6 0 14 Dec 2020
A Targeted Universal Attack on Graph Convolutional NetworkNeural Processing Letters (NPL), 2020 Jiazhu Dai Weifeng Zhu Xiangfeng Luo AAML GNN 114 24 0 29 Nov 2020
Algorithms and Hardness for Linear Algebra on Geometric Graphs Josh Alman T. Chu Aaron Schild Zhao Song 242 31 0 04 Nov 2020
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks U. Shanthamallu Jayaraman J. Thiagarajan A. Spanias AAML 110 17 0 30 Sep 2020
Certified Robustness of Graph Classification against Topology Attack with Randomized SmoothingGlobal Communications Conference (GLOBECOM), 2020 Zhidong Gao Rui Hu Yanmin Gong AAML OOD 102 17 0 12 Sep 2020
Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence FunctionWeb Search and Data Mining (WSDM), 2020 Binghui Wang Tianxiang Zhou Min Lin Pan Zhou Ang Li Meng Pang Xue Yang Yiran Chen AAML 387 22 0 01 Sep 2020
The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures Evgenios M. Kornaropoulos Silei Ren R. Tamassia AAML 129 23 0 01 Aug 2020
Graph Backdoor Zhaohan Xi Ren Pang S. Ji Ting Wang AI4CE AAML 286 194 0 21 Jun 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks Xiang Zhang Marinka Zitnik AAML 354 345 0 15 Jun 2020
Graph Structure Learning for Robust Graph Neural Networks Wei Jin Yao Ma Xiaorui Liu Xianfeng Tang Suhang Wang Shucheng Zhou OOD AAML 261 771 0 20 May 2020
AN-GCN: An Anonymous Graph Convolutional Network Defense Against Edge-Perturbing Attack Ao Liu Beibei Li Tao Li Pan Zhou Rui Wang AAML 372 0 0 06 May 2020
Rethinking the Trigger of Backdoor Attack Yiming Li Tongqing Zhai Baoyuan Wu Yong Jiang Zhifeng Li Shutao Xia LLMSV 269 163 0 09 Apr 2020
Adversarial Attacks and Defenses on Graphs: A Review, A Tool and Empirical Studies Wei Jin Yaxin Li Han Xu Yiqi Wang Shuiwang Ji Charu C. Aggarwal Shucheng Zhou AAML GNN 270 106 0 02 Mar 2020