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GENIE: Watermarking Graph Neural Networks for Link Prediction

7 June 2024

Venkata Sai Pranav Bachina

Papers citing "GENIE: Watermarking Graph Neural Networks for Link Prediction"

41 / 41 papers shown

Title
Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks Marcin Podhajski Jan Dubiñski Franziska Boenisch Adam Dziedzic Agnieszka Pregowska Tomasz Michalak 63 2 0 20 May 2024
MEA-Defender: A Robust Watermark against Model Extraction Attack Peizhuo Lv Hualong Ma Kai Chen Jiachen Zhou Shengzhi Zhang Ruigang Liang Shenchen Zhu Pan Li Yingjun Zhang MIACV AAML 83 8 0 26 Jan 2024
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking Juanhui Li Harry Shomer Haitao Mao Shenglai Zeng Yao Ma Neil Shah Jiliang Tang Dawei Yin 128 58 0 18 Jun 2023
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings Asim Waheed Vasisht Duddu Nadarajah Asokan 71 10 0 17 Apr 2023
False Claims against Model Ownership Resolution Jian Liu Rui Zhang S. Szyller Kui Ren Nirmal Asokan AAML MLAU 66 12 0 13 Apr 2023
Link-Backdoor: Backdoor Attack on Link Prediction via Node Injection Haibin Zheng Haiyang Xiong Hao-Shang Ma Guohan Huang Jinyin Chen 66 13 0 14 Aug 2022
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction Seongjun Yun Seoyoon Kim Junhyun Lee Jaewoo Kang Hyunwoo J. Kim GNN 54 117 0 09 Jun 2022
Model Stealing Attacks Against Inductive Graph Neural Networks Yun Shen Xinlei He Yufei Han Yang Zhang 78 66 0 15 Dec 2021
An Overview of Backdoor Attacks Against Deep Neural Networks and Possible Defences Wei Guo B. Tondi Mauro Barni AAML 86 69 0 16 Nov 2021
Watermarking Graph Neural Networks based on Backdoor Attacks Jing Xu Stefanos Koffas Oguzhan Ersoy S. Picek AAML 28 30 0 21 Oct 2021
Dyn-Backdoor: Backdoor Attack on Dynamic Link Prediction Jinyin Chen Haiyang Xiong Haibin Zheng Jian Zhang Guodong Jiang Yi Liu AAML SILM AI4CE 75 10 0 08 Oct 2021
SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version) Nils Lukas Edward Jiang Xinda Li Florian Kerschbaum AAML 109 92 0 11 Aug 2021
Explainability-based Backdoor Attacks Against Graph Neural Networks Jing Xu Minhui Xue Xue S. Picek 68 76 0 08 Apr 2021
A survey of deep neural network watermarking techniques Yue Li Hongxia Wang Mauro Barni 110 146 0 16 Mar 2021
Graph Neural Network for Traffic Forecasting: A Survey Weiwei Jiang Jiayun Luo GNN AI4TS AI4CE 227 879 0 27 Jan 2021
Watermarking Graph Neural Networks by Random Graphs Xiangyu Zhao Hanzhou Wu Xinpeng Zhang 39 39 0 01 Nov 2020
Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization Bang Wu Xiangwen Yang Shirui Pan Lizhen Qu MIACV MLAU 86 55 0 24 Oct 2020
A Systematic Review on Model Watermarking for Neural Networks Franziska Boenisch AAML 66 69 0 25 Sep 2020
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 128 608 0 17 Jul 2020
Graph Backdoor Zhaohan Xi Ren Pang S. Ji Ting Wang AI4CE AAML 55 171 0 21 Jun 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 309 2,746 0 02 May 2020
Challenges in Benchmarking Stream Learning Algorithms with Real-world Data Vinicius M. A. Souza Denis Moreira dos Reis André Gustavo Maletzke Gustavo E. A. P. A. Batista OOD AI4TS 52 131 0 30 Apr 2020
Adversarial Model Extraction on Graph Neural Networks David DeFazio Arti Ramesh AAML MLAU 47 21 0 16 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 532 42,591 0 03 Dec 2019
DAWN: Dynamic Adversarial Watermarking of Neural Networks S. Szyller B. Atli Samuel Marchal Nadarajah Asokan MLAU AAML 54 180 0 03 Jun 2019
PyTorch-BigGraph: A Large-scale Graph Embedding System Adam Lerer Ledell Yu Wu Jiajun Shen Timothée Lacroix Luca Wehrstedt Abhijit Bose A. Peysakhovich GNN 64 386 0 28 Mar 2019
Graph Neural Networks for Social Recommendation Wenqi Fan Yao Ma Qing Li Yuan He Yue Zhao Jiliang Tang Dawei Yin 250 1,901 0 19 Feb 2019
Kernel Density Estimation Bias under Minimal Assumptions Maciej Skorski 21 1 0 02 Jan 2019
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 266 3,550 0 06 Jun 2018
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba Jizhe Wang Pipei Huang Huan Zhao Zhibo Zhang Binqiang Zhao Lee 59 500 0 06 Mar 2018
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 103 1,941 0 27 Feb 2018
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring Yossi Adi Carsten Baum Moustapha Cissé Benny Pinkas Joseph Keshet 63 682 0 13 Feb 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 730 132,363 0 12 Jun 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 514 15,319 0 07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 654 29,154 0 09 Sep 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 191 10,903 0 03 Jul 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 313 6,700 0 08 Jun 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 364 19,723 0 09 Mar 2015
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 234 8,348 0 06 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,508 0 04 Sep 2014