IDEA: Invariant Defense for Graph Adversarial Robustness

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IDEA: Invariant Defense for Graph Adversarial Robustness

Information Sciences (Inf. Sci.), 2023

25 May 2023

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Papers citing "IDEA: Invariant Defense for Graph Adversarial Robustness"

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Title
Exploring Causal Learning through Graph Neural Networks: An In-depth Review Simi Job Xiaohui Tao Taotao Cai Haoran Xie Lin Li Jianming Yong Qing Li CML AI4CE 199 15 0 25 Nov 2023
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?Neural Information Processing Systems (NeurIPS), 2023 Yongqiang Chen Yatao Bian Kaiwen Zhou Binghui Xie Bo Han James Cheng OOD 228 55 0 29 Oct 2023
DAD++: Improved Data-free Test Time Adversarial Defense Gaurav Kumar Nayak Inder Khatri Shubham Randive Ruchit Rawal Anirban Chakraborty AAML 213 2 0 10 Sep 2023
Adversarial Camouflage for Node Injection Attack on GraphsInformation Sciences (Inf. Sci.), 2022 Shuchang Tao Qi Cao Huawei Shen Yunfan Wu Liang Hou Fei Sun Xueqi Cheng AAML GNN 236 29 0 03 Aug 2022