Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees

7 May 2022

Papers citing "Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees"

8 / 8 papers shown

Title
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations Jiate Li Meng Pang Yun Dong Binghui Wang AAML 67 0 0 24 Mar 2025
Backdoor Attacks on Discrete Graph Diffusion Models Jiawen Wang Samin Karim Yuan Hong Binghui Wang DiffM 68 0 0 08 Mar 2025
Graph Neural Network Causal Explanation via Neural Causal Models Arman Behnam Binghui Wang CML 42 3 0 12 Jul 2024
Minimum Topology Attacks for Graph Neural Networks Mengmei Zhang Tianlin Li Chuan Shi Lingjuan Lyu Tianchi Yang Junping Du AAML 38 7 0 05 Mar 2024
Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence Hanbin Hong Xinyu Zhang Binghui Wang Zhongjie Ba Yuan Hong AAML 22 2 0 10 Apr 2023
A Certified Radius-Guided Attack Framework to Image Segmentation Models Wenjie Qu Youqi Li Binghui Wang AAML 18 5 0 05 Apr 2023
Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function Binghui Wang Tianxiang Zhou Min-Bin Lin Pan Zhou Ang Li Meng Pang H. Li Yiran Chen AAML 21 18 0 01 Sep 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 916 0 02 Mar 2020