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Existing Literature about Machine Unlearning
Created
2020-09-11
233 commits to master branch, last one 11 days ago
Awesome Machine Unlearning (A Survey of Machine Unlearning)
gdpr
forgetting
unlearning
data-privacy
data-removal
data-deletion
llm-unlearning
deep-unlearning
feature-injection
continual-learning
machine-unlearning
few-shot-unlearning
model-certification
federated-unlearning
membership-inference
right-to-be-forgotten
unlearning-verification
recommendation-unlearning
Created
2022-07-07
209 commits to main branch, last one 2 months ago
A curated list of trustworthy deep learning papers. Daily updating...
privacy
backdoor
fairness
green-ai
security
causality
ownership
poisoning
robustness
uncertainty
ai-alignment
watermarking
deep-learning
hallucinations
gradient-leakage
machine-unlearning
interpretable-deep-learning
membership-inference-attack
adversarial-machine-learning
out-of-distribution-generalization
Created
2020-07-19
636 commits to master branch, last one a day ago
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.
forgetting
overfitting
deep-learning
meta-learning
model-attacks
generative-model
machine-learning
coreset-selection
domain-adaptation
continual-learning
federated-learning
machine-unlearning
beneficial-forgetting
reinforcement-learning
catastrophic-forgetting
model-inversion-attacks
self-supervised-learning
property-inference-attacks
membership-inference-attacks
data-free-knolwedge-distillation
Created
2023-07-03
125 commits to main branch, last one 11 days ago
A resource repository for machine unlearning in large language models
Created
2024-03-27
97 commits to main branch, last one 6 days ago
[ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation" by Chongyu Fan*, Jiancheng Liu*, Yihua Zhang, Eric Wong, Denn...
Created
2023-10-12
49 commits to master branch, last one 16 days ago
Awesome Federated Unlearning (FU) Papers (Continually Update)
Created
2023-09-27
39 commits to main branch, last one 7 months ago
[NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu
Created
2023-02-03
105 commits to public branch, last one 8 months ago
[ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
Created
2024-02-26
11 commits to main branch, last one 6 months ago
Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
Created
2021-09-13
4 commits to main branch, last one 2 years ago
Official implementation of "Graph Unlearning" (ACM CCS 2022)
Created
2022-05-05
7 commits to main branch, last one about a year ago
General Strategy for Unlearning in Graph Neural Networks
Created
2023-02-20
30 commits to main branch, last one about a year ago
Continual Forgetting for Pre-trained Vision Models (CVPR 2024)
Created
2023-07-15
65 commits to master branch, last one about a month ago
This repository has no description...
Created
2023-10-18
31 commits to main branch, last one 5 months ago