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Graph Unlearning

Graph Unlearning

27 March 2021
Min Chen
Zhikun Zhang
Tianhao Wang
Michael Backes
Mathias Humbert
Yang Zhang
    MU
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Papers citing "Graph Unlearning"

16 / 16 papers shown
Title
AMUN: Adversarial Machine UNlearning
AMUN: Adversarial Machine UNlearning
A. Boroojeny
Hari Sundaram
Varun Chandrasekaran
MU
AAML
43
0
0
02 Mar 2025
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
Jinghan Jia
Jiancheng Liu
Yihua Zhang
Parikshit Ram
Nathalie Baracaldo
Sijia Liu
MU
35
2
0
23 Oct 2024
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning
Chongyu Fan
Jiancheng Liu
Licong Lin
Jinghan Jia
Ruiqi Zhang
Song Mei
Sijia Liu
MU
43
15
0
09 Oct 2024
CodeUnlearn: Amortized Zero-Shot Machine Unlearning in Language Models
  Using Discrete Concept
CodeUnlearn: Amortized Zero-Shot Machine Unlearning in Language Models Using Discrete Concept
YuXuan Wu
Bonaventure F. P. Dossou
Dianbo Liu
MU
16
0
0
08 Oct 2024
Position: LLM Unlearning Benchmarks are Weak Measures of Progress
Position: LLM Unlearning Benchmarks are Weak Measures of Progress
Pratiksha Thaker
Shengyuan Hu
Neil Kale
Yash Maurya
Zhiwei Steven Wu
Virginia Smith
MU
45
10
0
03 Oct 2024
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models
Tianqi Chen
Shujian Zhang
Mingyuan Zhou
DiffM
69
3
0
17 Sep 2024
Towards Certified Unlearning for Deep Neural Networks
Towards Certified Unlearning for Deep Neural Networks
Binchi Zhang
Yushun Dong
Tianhao Wang
Jundong Li
MU
57
6
0
01 Aug 2024
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning
Jiali Cheng
Hadi Amiri
BDL
33
3
0
21 Jun 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise,
  Privacy and OOD Challenges
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
34
36
0
07 Mar 2024
MultiDelete for Multimodal Machine Unlearning
MultiDelete for Multimodal Machine Unlearning
Jiali Cheng
Hadi Amiri
MU
38
7
0
18 Nov 2023
LegoNet: A Fast and Exact Unlearning Architecture
LegoNet: A Fast and Exact Unlearning Architecture
Sihao Yu
Fei Sun
J. Guo
Ruqing Zhang
Xueqi Cheng
MU
21
6
0
28 Oct 2022
Verifiable and Provably Secure Machine Unlearning
Verifiable and Provably Secure Machine Unlearning
Thorsten Eisenhofer
Doreen Riepel
Varun Chandrasekaran
Esha Ghosh
O. Ohrimenko
Nicolas Papernot
AAML
MU
26
25
0
17 Oct 2022
On the Privacy Risks of Cell-Based NAS Architectures
On the Privacy Risks of Cell-Based NAS Architectures
Haiping Huang
Zhikun Zhang
Yun Shen
Michael Backes
Qi Li
Yang Zhang
12
7
0
04 Sep 2022
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local
  Differential Privacy
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy
L. Du
Zhikun Zhang
Shaojie Bai
Changchang Liu
S. Ji
Peng Cheng
Jiming Chen
85
36
0
14 Oct 2021
Stealing Links from Graph Neural Networks
Stealing Links from Graph Neural Networks
Xinlei He
Jinyuan Jia
Michael Backes
Neil Zhenqiang Gong
Yang Zhang
AAML
53
164
0
05 May 2020
Machine Unlearning: Linear Filtration for Logit-based Classifiers
Machine Unlearning: Linear Filtration for Logit-based Classifiers
Thomas Baumhauer
Pascal Schöttle
Matthias Zeppelzauer
MU
99
129
0
07 Feb 2020
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