v1v2 (latest)

Certifiable Robustness to Graph Perturbations

Neural Information Processing Systems (NeurIPS), 2019

31 October 2019

Aleksandar Bojchevski

Stephan Günnemann

AAML

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Papers citing "Certifiable Robustness to Graph Perturbations"

28 / 78 papers shown

Title
Adversarial Robustness of Probabilistic Network Embedding for Link Prediction Xi Chen Bo Kang Jefrey Lijffijt T. D. Bie AAML 115 2 0 05 Jul 2021
Stability of Graph Convolutional Neural Networks to Stochastic PerturbationsSignal Processing (Signal Process.), 2021 Zhangyang Gao Elvin Isufi Alejandro Ribeiro GNN 132 27 0 19 Jun 2021
How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical ImplicationsKnowledge Discovery and Data Mining (KDD), 2021 Jiong Zhu Junchen Jin Donald Loveland Michael T. Schaub Danai Koutra AAML 290 43 0 14 Jun 2021
Decentralized Inference with Graph Neural Networks in Wireless Communication SystemsIEEE Transactions on Mobile Computing (IEEE TMC), 2021 Mengyuan Lee Guanding Yu H. Dai GNN 171 46 0 19 Apr 2021
Spatio-Temporal Sparsification for General Robust Graph Convolution Networks Mingming Lu Ya Zhang OOD AAML 78 0 0 23 Mar 2021
Graphfool: Targeted Label Adversarial Attack on Graph EmbeddingIEEE Transactions on Computational Social Systems (IEEE TCSS), 2021 Jinyin Chen Xiang Lin Dunjie Zhang Haibin Zheng Guohan Huang Hui Xiong Xiang Lin AAML 154 5 0 24 Feb 2021
Dissecting the Diffusion Process in Linear Graph Convolutional NetworksNeural Information Processing Systems (NeurIPS), 2021 Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin GNN 205 96 0 22 Feb 2021
Interpretable Stability Bounds for Spectral Graph FiltersInternational Conference on Machine Learning (ICML), 2021 Henry Kenlay D. Thanou Xiaowen Dong 214 43 0 18 Feb 2021
GraphAttacker: A General Multi-Task GraphAttack FrameworkIEEE Transactions on Network Science and Engineering (TNSE), 2021 Jinyin Chen Dunjie Zhang Zhaoyan Ming Kejie Huang Wenrong Jiang Chen Cui AAML 247 17 0 18 Jan 2021
Characterizing the Evasion Attackability of Multi-label ClassifiersAAAI Conference on Artificial Intelligence (AAAI), 2020 Zhuo Yang Yufei Han Xiangliang Zhang AAML 150 11 0 17 Dec 2020
Graph Neural Networks: Taxonomy, Advances and TrendsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2020 Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 515 164 0 16 Dec 2020
Unsupervised Adversarially-Robust Representation Learning on GraphsAAAI Conference on Artificial Intelligence (AAAI), 2020 Jiarong Xu Yang Yang Junru Chen Chunping Wang Xin Jiang Jiangang Lu Luke Huan SSL AAML OOD 382 42 0 04 Dec 2020
Reliable Graph Neural Networks via Robust AggregationNeural Information Processing Systems (NeurIPS), 2020 Simon Geisler Daniel Zügner Stephan Günnemann AAML OOD 146 85 0 29 Oct 2020
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?International Conference on Machine Learning (ICML), 2020 Anna-Kathrin Kopetzki Bertrand Charpentier Daniel Zügner Sandhya Giri Stephan Günnemann 275 52 0 28 Oct 2020
On the Stability of Graph Convolutional Neural Networks under Edge RewiringIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 Henry Kenlay D. Thanou Xiaowen Dong 193 35 0 26 Oct 2020
Certified Robustness of Graph Classification against Topology Attack with Randomized SmoothingGlobal Communications Conference (GLOBECOM), 2020 Zhidong Gao Rui Hu Yanmin Gong AAML OOD 118 17 0 12 Sep 2020
SoK: Certified Robustness for Deep Neural NetworksIEEE Symposium on Security and Privacy (IEEE S&P), 2020 Linyi Li Tao Xie Yue Liu AAML 588 143 0 09 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 395 22 0 01 Sep 2020
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and MoreInternational Conference on Machine Learning (ICML), 2020 Aleksandar Bojchevski Johannes Klicpera Stephan Günnemann AAML 278 93 0 29 Aug 2020
node2coords: Graph Representation Learning with Wasserstein BarycentersIEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2020 E. Simou D. Thanou P. Frossard 117 9 0 31 Jul 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks Xiang Zhang Marinka Zitnik AAML 366 346 0 15 Jun 2020
AN-GCN: An Anonymous Graph Convolutional Network Defense Against Edge-Perturbing Attack Ao Liu Beibei Li Tao Li Pan Zhou Rui Wang AAML 380 0 0 06 May 2020
Topological Effects on Attacks Against Vertex Classification B. A. Miller Mustafa Çamurcu Alexander J. Gomez Kevin S. Chan Tina Eliassi-Rad AAML 89 2 0 12 Mar 2020
A Survey of Adversarial Learning on Graphs Liang Chen Jintang Li Jiaying Peng Tao Xie Zengxu Cao Kun Xu Xiangnan He Zibin Zheng Bingzhe Wu AAML 179 90 0 10 Mar 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 290 107 0 02 Mar 2020
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized SmoothingThe Web Conference (WWW), 2020 Jinyuan Jia Binghui Wang Xiaoyu Cao Neil Zhenqiang Gong AAML 266 88 0 09 Feb 2020
Stability Properties of Graph Neural NetworksIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2019 Fernando Gama Joan Bruna Alejandro Ribeiro 346 254 0 11 May 2019
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 336 343 0 26 Dec 2018