Releasing Graph Neural Networks with Differential Privacy Guarantees

18 September 2021

Papers citing "Releasing Graph Neural Networks with Differential Privacy Guarantees"

29 / 29 papers shown

Title
AdvSGM: Differentially Private Graph Learning via Adversarial Skip-gram Model Sen Zhang Qingqing Ye Haibo Hu Jianliang Xu 37 0 0 27 Mar 2025
DP-GPL: Differentially Private Graph Prompt Learning Jing Xu Franziska Boenisch Iyiola Emmanuel Olatunji Adam Dziedzic AAML 45 0 0 13 Mar 2025
Structure-Preference Enabled Graph Embedding Generation under Differential Privacy Sen Zhang Qingqing Ye Haibo Hu 28 0 0 08 Jan 2025
Vision Paper: Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act Barbara Hoffmann Jana Vatter R. Mayer 16 0 0 29 Oct 2024
Privately Learning from Graphs with Applications in Fine-tuning Large Language Models Haoteng Yin Rongzhe Wei Eli Chien P. Li 23 0 0 10 Oct 2024
Cycle Counting under Local Differential Privacy for Degeneracy-bounded Graphs Quentin Hillebrand Vorapong Suppakitpaisarn Tetsuo Shibuya 14 0 0 25 Sep 2024
Advances in Differential Privacy and Differentially Private Machine Learning Saswat Das Subhankar Mishra 22 1 0 06 Apr 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 31 36 0 07 Mar 2024
Preserving Node-level Privacy in Graph Neural Networks Zihang Xiang Tianhao Wang Di Wang 10 6 0 12 Nov 2023
Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach Karuna Bhaila Wen Huang Yongkai Wu Xintao Wu 9 3 0 15 Sep 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 8 9 0 31 Aug 2023
A Survey of Graph Unlearning Anwar Said Tyler Derr Mudassir Shabbir W. Abbas X. Koutsoukos MU 8 7 0 23 Aug 2023
Differentially Private Graph Neural Network with Importance-Grained Noise Adaption Yuxin Qi Xi Lin Jun Wu 28 0 0 09 Aug 2023
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection Eli Chien Wei-Ning Chen Chao Pan Pan Li Ayfer Özgür O. Milenkovic 20 12 0 12 Jul 2023
Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk? Iyiola E. Olatunji Anmar Hizber Oliver Sihlovec Megha Khosla AAML 12 4 0 01 Jun 2023
ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees Sina Sajadmanesh D. Gática-Pérez 4 15 0 18 Apr 2023
Privacy-Preserved Neural Graph Similarity Learning Yupeng Hou Wayne Xin Zhao Yaliang Li Ji-Rong Wen 17 1 0 21 Oct 2022
DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy Qiuchen Zhang Hong kyu Lee Jing Ma Jian Lou Carl Yang Li Xiong 20 10 0 10 Oct 2022
Privacy and Transparency in Graph Machine Learning: A Unified Perspective Megha Khosla 13 4 0 22 Jul 2022
Graph Generative Model for Benchmarking Graph Neural Networks Minji Yoon Yue Wu John Palowitch Bryan Perozzi Ruslan Salakhutdinov 12 7 0 10 Jul 2022
Private Graph Extraction via Feature Explanations Iyiola E. Olatunji Mandeep Rathee Thorben Funke Megha Khosla AAML FAtt 12 11 0 29 Jun 2022
Certified Graph Unlearning Eli Chien Chao Pan O. Milenkovic MU 16 38 0 18 Jun 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 14 123 0 18 Apr 2022
SoK: Differential Privacy on Graph-Structured Data Tamara T. Mueller Dmitrii Usynin Johannes C. Paetzold Daniel Rueckert Georgios Kaissis 9 14 0 17 Mar 2022
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation Sina Sajadmanesh Ali Shahin Shamsabadi A. Bellet D. Gática-Pérez 14 43 0 02 Mar 2022
Degree-Preserving Randomized Response for Graph Neural Networks under Local Differential Privacy Seira Hidano Takao Murakami 11 7 0 21 Feb 2022
Node-Level Differentially Private Graph Neural Networks Ameya Daigavane Gagan Madan Aditya Sinha Abhradeep Thakurta Gaurav Aggarwal Prateek Jain 14 42 0 23 Nov 2021
Private Graph Data Release: A Survey Yang D. Li M. Purcell Thierry Rakotoarivelo David B. Smith Thilina Ranbaduge K. S. Ng 11 19 0 09 Jul 2021
Membership Inference Attack on Graph Neural Networks Iyiola E. Olatunji Wolfgang Nejdl Megha Khosla AAML 23 96 0 17 Jan 2021