Model Inversion Attacks against Graph Neural Networks

Model Inversion Attacks against Graph Neural Networks

16 September 2022

Qi Liu

Papers citing "Model Inversion Attacks against Graph Neural Networks"

18 / 18 papers shown

Title
A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Georgios Papadopoulos Shaltiel Eloul Yash Satsangi Jamie Heredge Niraj Kumar Chun-Fu Chen Marco Pistoia 51 0 0 17 Apr 2025
Graph-Level Label-Only Membership Inference Attack against Graph Neural Networks Jiazhu Dai Yubing Lu 47 0 0 24 Mar 2025
Gradient Inversion Attack on Graph Neural Networks Divya Anand Sinha Yezi Liu Ruijie Du Yanning Shen FedML 61 0 0 29 Nov 2024
MIBench: A Comprehensive Framework for Benchmarking Model Inversion Attack and Defense Yixiang Qiu Hongyao Yu Hao Fang Wenbo Yu Wenbo Yu Bin Chen Shu-Tao Xia Ke Xu Ke Xu AAML 35 1 0 07 Oct 2024
Investigating Privacy Leakage in Dimensionality Reduction Methods via Reconstruction Attack Chayadon Lumbut Donlapark Ponnoprat 27 0 0 30 Aug 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyan Mao ... Senzhang Wang Xinwang Liu Xiao Luo Philip S. Yu Ming Zhang AI4CE 36 35 0 07 Mar 2024
MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection Boyang Peng Sanqing Qu Yong Wu Tianpei Zou Lianghua He Alois C. Knoll Guang Chen Changjun Jiang AAML 29 3 0 07 Mar 2024
On provable privacy vulnerabilities of graph representations Ruofan Wu Guanhua Fang Qiying Pan Mingyang Zhang Tengfei Liu Weiqiang Wang AAML 27 0 0 06 Feb 2024
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 47 2 0 07 Dec 2023
Model Inversion Attacks on Homogeneous and Heterogeneous Graph Neural Networks Renyang Liu Wei Zhou Jinhong Zhang Xiaoyuan Liu Peiyuan Si Haoran Li AAML 20 0 0 15 Oct 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu-Chiang Frank Wang Olivera Kotevska Philip S. Yu Tyler Derr 26 10 0 31 Aug 2023
Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk? Iyiola E. Olatunji Anmar Hizber Oliver Sihlovec Megha Khosla AAML 17 6 0 01 Jun 2023
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design Zaixin Zhang Qi Liu 27 34 0 22 May 2023
An Equivariant Generative Framework for Molecular Graph-Structure Co-Design Zaixin Zhang Qi Liu Cheekong Lee Chang-Yu Hsieh Enhong Chen 15 18 0 12 Apr 2023
Backdoor Defense via Deconfounded Representation Learning Zaixin Zhang Qi Liu Zhicai Wang Zepu Lu Qingyong Hu AAML 49 39 0 13 Mar 2023
Hierarchical Graph Transformer with Adaptive Node Sampling Zaixin Zhang Qi Liu Qingyong Hu Cheekong Lee 75 81 0 08 Oct 2022
SecGNN: Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service Songlei Wang Yifeng Zheng Xiaohua Jia GNN 6 22 0 16 Feb 2022
Stealing Links from Graph Neural Networks Xinlei He Jinyuan Jia Michael Backes Neil Zhenqiang Gong Yang Zhang AAML 63 168 0 05 May 2020