Certifiable Robustness to Graph Perturbations

31 October 2019

Stephan Günnemann

Papers citing "Certifiable Robustness to Graph Perturbations"

37 / 37 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 51 0 0 29 Apr 2025
Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure Tobias Ladner Michael Eichelbeck Matthias Althoff GNN 63 0 0 23 Apr 2024
Uncertainty in Graph Neural Networks: A Survey Fangxin Wang Yuqing Liu Kay Liu Yibo Wang Sourav Medya Philip S. Yu AI4CE 53 8 0 11 Mar 2024
AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learning Vasudev Gohil Satwik Patnaik D. Kalathil Jeyavijayan Rajendran AAML 40 3 0 21 Feb 2024
On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks Zhan Gao Amanda Prorok Elvin Isufi 43 1 0 04 Dec 2023
Structure-Aware Robustness Certificates for Graph Classification Pierre Osselin Henry Kenlay Xiaowen Dong 37 0 0 20 Jun 2023
IDEA: Invariant Defense for Graph Adversarial Robustness Shuchang Tao Qi Cao Huawei Shen Yunfan Wu Bingbing Xu Xueqi Cheng AAML OOD 43 7 0 25 May 2023
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks Yan Scholten Jan Schuchardt Simon Geisler Aleksandar Bojchevski Stephan Günnemann AAML 29 16 0 05 Jan 2023
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs Helene Orsini Hongyan Bao Yujun Zhou Xiangrui Xu Yufei Han Longyang Yi Wei Wang Xin Gao Xiangliang Zhang AAML 44 1 0 13 Dec 2022
Robust Graph Representation Learning via Predictive Coding Billy Byiringiro Tommaso Salvatori Thomas Lukasiewicz OOD 31 6 0 09 Dec 2022
Model Inversion Attacks against Graph Neural Networks Zaixin Zhang Qi Liu Zhenya Huang Hao Wang Cheekong Lee Enhong AAML 28 35 0 16 Sep 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
Detecting Topology Attacks against Graph Neural Networks Senrong Xu Yuan Yao Liangyue Li Wei Yang F. Xu Hanghang Tong 42 3 0 21 Apr 2022
GUARD: Graph Universal Adversarial Defense Jintang Li Jie Liao Ruofan Wu Liang Chen Zibin Zheng Jiawang Dan Changhua Meng Weiqiang Wang AAML 21 8 0 20 Apr 2022
Neighboring Backdoor Attacks on Graph Convolutional Network Liang Chen Qibiao Peng Jintang Li Yang Liu Jiawei Chen Yong Li Zibin Zheng GNN AAML 32 11 0 17 Jan 2022
Model Stealing Attacks Against Inductive Graph Neural Networks Yun Shen Xinlei He Yufei Han Yang Zhang 24 60 0 15 Dec 2021
Robustness of Graph Neural Networks at Scale Simon Geisler Tobias Schmidt Hakan cSirin Daniel Zügner Aleksandar Bojchevski Stephan Günnemann AAML 30 125 0 26 Oct 2021
Inference Attacks Against Graph Neural Networks Zhikun Zhang Min Chen Michael Backes Yun Shen Yang Zhang MIACV AAML GNN 33 50 0 06 Oct 2021
Transferability of Graph Neural Networks: an Extended Graphon Approach Sohir Maskey Ron Levie Gitta Kutyniok GNN 93 50 0 21 Sep 2021
Understanding Structural Vulnerability in Graph Convolutional Networks Liang Chen Jintang Li Qibiao Peng Yang Liu Zibin Zheng Carl Yang AAML 21 58 0 13 Aug 2021
Robust Counterfactual Explanations on Graph Neural Networks Mohit Bajaj Lingyang Chu Zihui Xue J. Pei Lanjun Wang P. C. Lam Yong Zhang OOD 43 96 0 08 Jul 2021
Stability of Graph Convolutional Neural Networks to Stochastic Perturbations Zhangyang Gao Elvin Isufi Alejandro Ribeiro GNN 24 23 0 19 Jun 2021
How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications Jiong Zhu Junchen Jin Donald Loveland Michael T. Schaub Danai Koutra AAML 32 35 0 14 Jun 2021
Decentralized Inference with Graph Neural Networks in Wireless Communication Systems Mengyuan Lee Guanding Yu H. Dai GNN 47 40 0 19 Apr 2021
Dissecting the Diffusion Process in Linear Graph Convolutional Networks Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin GNN 44 79 0 22 Feb 2021
Interpretable Stability Bounds for Spectral Graph Filters Henry Kenlay D. Thanou Xiaowen Dong 22 39 0 18 Feb 2021
GraphAttacker: A General Multi-Task GraphAttack Framework Jinyin Chen Dunjie Zhang Zhaoyan Ming Kejie Huang Wenrong Jiang Chen Cui AAML 36 14 0 18 Jan 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 117 0 16 Dec 2020
Unsupervised Adversarially-Robust Representation Learning on Graphs Jiarong Xu Yang Yang Junru Chen Chunping Wang Xin Jiang Jiangang Lu Yizhou Sun SSL AAML OOD 35 36 0 04 Dec 2020
Reliable Graph Neural Networks via Robust Aggregation Simon Geisler Daniel Zügner Stephan Günnemann AAML OOD 8 71 0 29 Oct 2020
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable? Anna-Kathrin Kopetzki Bertrand Charpentier Daniel Zügner Sandhya Giri Stephan Günnemann 23 45 0 28 Oct 2020
On the Stability of Graph Convolutional Neural Networks under Edge Rewiring Henry Kenlay D. Thanou Xiaowen Dong 24 30 0 26 Oct 2020
SoK: Certified Robustness for Deep Neural Networks Linyi Li Tao Xie Bo-wen Li AAML 33 128 0 09 Sep 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks Xiang Zhang Marinka Zitnik AAML 27 291 0 15 Jun 2020
Topological Effects on Attacks Against Vertex Classification B. A. Miller Mustafa Çamurcu Alexander J. Gomez Kevin S. Chan Tina Eliassi-Rad AAML 19 2 0 12 Mar 2020
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing Jinyuan Jia Binghui Wang Xiaoyu Cao Neil Zhenqiang Gong AAML 85 83 0 09 Feb 2020
Adversarial Attack and Defense on Graph Data: A Survey Lichao Sun Yingtong Dou Carl Yang Ji Wang Yixin Liu Philip S. Yu Lifang He Yangqiu Song GNN AAML 23 275 0 26 Dec 2018