GNNDelete: A General Strategy for Unlearning in Graph Neural Networks

26 February 2023

Papers citing "GNNDelete: A General Strategy for Unlearning in Graph Neural Networks"

31 / 31 papers shown

Title
Understanding Machine Unlearning Through the Lens of Mode Connectivity Jiali Cheng Hadi Amiri MU 42 0 0 08 Apr 2025
FROG: Fair Removal on Graphs Z. Chen Jiali Cheng Gabriele Tolomei Sijia Liu Hadi Amiri Yu Wang Kaushiki Nag Lu Lin MU 43 1 0 23 Mar 2025
Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning Gaurav Patel Qiang Qiu MU 60 1 0 08 Mar 2025
Go Beyond Your Means: Unlearning with Per-Sample Gradient Orthogonalization Aviv Shamsian E. Shaar Aviv Navon Gal Chechik Ethan Fetaya MU 54 0 0 04 Mar 2025
MUNBa: Machine Unlearning via Nash Bargaining Jing Wu Mehrtash Harandi MU 71 3 0 23 Nov 2024
DynFrs: An Efficient Framework for Machine Unlearning in Random Forest Shurong Wang Zhuoyang Shen Xinbao Qiao Tongning Zhang Meng Zhang MU 16 0 0 02 Oct 2024
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier Lu Yi Zhewei Wei MU 48 0 0 17 Aug 2024
UMMAN: Unsupervised Multi-graph Merge Adversarial Network for Disease Prediction Based on Intestinal Flora Dingkun Liu Hongjie Zhou Yilu Qu Huimei Zhang Yongdong Xu AI4CE 14 0 0 31 Jul 2024
Learning to Unlearn for Robust Machine Unlearning Mark He Huang Lin Geng Foo Jun Liu MU 32 7 0 15 Jul 2024
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning Jiali Cheng Hadi Amiri BDL 33 3 0 21 Jun 2024
GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning Tao Wu Xinwen Cao Chao Wang Shaojie Qiao Xingping Xian Lin Yuan Canyixing Cui Yanbing Liu AAML 30 1 0 19 Jun 2024
Safety in Graph Machine Learning: Threats and Safeguards Song Wang Yushun Dong Binchi Zhang Zihan Chen Xingbo Fu Yinhan He Cong Shen Chuxu Zhang Nitesh V. Chawla Jundong Li 37 7 0 17 May 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey Ziyao Liu Huanyi Ye Chen Chen Yongsen Zheng K. Lam AAML MU 29 28 0 20 Mar 2024
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning Chongyu Fan Jiancheng Liu Alfred Hero Sijia Liu MU 20 10 0 12 Mar 2024
Machine Unlearning for Recommendation Systems: An Insight Bhavika Sachdeva Harshita Rathee Sristi Arun Sharma Witold Wydmañski MU 8 4 0 17 Jan 2024
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks Jing Wu Mehrtash Harandi 23 12 0 11 Jan 2024
A Comprehensive Study of Knowledge Editing for Large Language Models Ningyu Zhang Yunzhi Yao Bo Tian Peng Wang Shumin Deng ... Lei Liang Zhiqiang Zhang Xiao-Jun Zhu Jun Zhou Huajun Chen KELM 26 76 0 02 Jan 2024
GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks Bang Wu He Zhang Xiangwen Yang Shuo Wang Minhui Xue Shirui Pan Xingliang Yuan 43 6 0 13 Dec 2023
DUCK: Distance-based Unlearning via Centroid Kinematics Marco Cotogni Jacopo Bonato Luigi Sabetta Francesco Pelosin Alessandro Nicolosi MU 33 7 0 04 Dec 2023
MultiDelete for Multimodal Machine Unlearning Jiali Cheng Hadi Amiri MU 36 7 0 18 Nov 2023
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation Chongyu Fan Jiancheng Liu Yihua Zhang Eric Wong Dennis Wei Sijia Liu MU 11 120 0 19 Oct 2023
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now Yimeng Zhang Jinghan Jia Xin Chen Aochuan Chen Yihua Zhang Jiancheng Liu Ke Ding Sijia Liu DiffM 17 79 0 18 Oct 2023
Distill to Delete: Unlearning in Graph Networks with Knowledge Distillation Yash Sinha Murari Mandal Mohan S. Kankanhalli MU 19 10 0 28 Sep 2023
A Survey of Graph Unlearning Anwar Said Tyler Derr Mudassir Shabbir W. Abbas X. Koutsoukos MU 21 7 0 23 Aug 2023
Machine Unlearning: Solutions and Challenges Jie Xu Zihan Wu Cong Wang Xiaohua Jia MU 30 45 0 14 Aug 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy T. Shaik Xiaohui Tao Haoran Xie Lin Li Xiaofeng Zhu Qingyuan Li MU 30 25 0 10 May 2023
Model Sparsity Can Simplify Machine Unlearning Jinghan Jia Jiancheng Liu Parikshit Ram Yuguang Yao Gaowen Liu Yang Liu Pranay Sharma Sijia Liu MU 17 103 0 11 Apr 2023
Fast Model Editing at Scale E. Mitchell Charles Lin Antoine Bosselut Chelsea Finn Christopher D. Manning KELM 219 341 0 21 Oct 2021
Membership Inference Attack on Graph Neural Networks Iyiola E. Olatunji Wolfgang Nejdl Megha Khosla AAML 34 96 0 17 Jan 2021
Mixed-Privacy Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Avinash Ravichandran M. Polito Stefano Soatto CLL MU 125 158 0 24 Dec 2020
Machine Unlearning: Linear Filtration for Logit-based Classifiers Thomas Baumhauer Pascal Schöttle Matthias Zeppelzauer MU 99 109 0 07 Feb 2020