A resource repository for machine unlearning in large language models
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May 24, 2024
#
machine-unlearning
Here are 34 public repositories matching this topic...
Awesome Machine Unlearning (A Survey of Machine Unlearning)
data-privacy
gdpr
right-to-be-forgotten
machine-unlearning
continual-learning
forgetting
data-deletion
unlearning
membership-inference
data-removal
model-certification
federated-unlearning
recommendation-unlearning
few-shot-unlearning
unlearning-verification
feature-injection
deep-unlearning
llm-unlearning
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May 24, 2024 - Jupyter Notebook
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.
machine-learning
reinforcement-learning
deep-learning
generative-model
domain-adaptation
meta-learning
overfitting
machine-unlearning
federated-learning
continual-learning
catastrophic-forgetting
self-supervised-learning
model-inversion-attacks
forgetting
membership-inference-attacks
coreset-selection
data-free-knolwedge-distillation
property-inference-attacks
model-attacks
beneficial-forgetting
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May 24, 2024
Existing Literature about Machine Unlearning
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May 22, 2024
Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning
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May 19, 2024 - Python
Machine Unlearning for Random Forests
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May 18, 2024 - Python
A curated list of trustworthy deep learning papers. Daily updating...
security
privacy
deep-learning
backdoor
uncertainty
ownership
causality
fairness
watermarking
poisoning
robustness
adversarial-machine-learning
machine-unlearning
interpretable-deep-learning
ai-alignment
green-ai
membership-inference-attack
hallucinations
gradient-leakage
out-of-distribution-generalization
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May 17, 2024
[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, Dennis Wei, Sijia Liu
generative-model
data-privacy
diffusion
machine-unlearning
forgetting
diffusion-models
data-deletion
membership-inference-attack
unlearning
membership-inference
data-removal
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May 17, 2024 - Python
This project explores the efficacy of machine unlearning methods like Task-Agnostic Machine Unlearning and SISA in enhancing privacy and reducing bias in facial recognition systems, emphasizing their importance in responsible technology implementation.
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May 14, 2024 - Jupyter Notebook
Continual Forgetting for Pre-trained Vision Models (CVPR 2024)
editing
machine-unlearning
continual-learning
forgetting
unlearning
model-editing
face-transformer
casia-webface
continual-forgetting
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May 11, 2024 - Python
"Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, Sijia Liu
evaluation
data-privacy
evaluation-framework
machine-unlearning
forgetting
data-deletion
unlearning
data-removal
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May 4, 2024 - Python
A framework for machine unlearning.
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May 2, 2024 - Python
Official Website of https://github.com/tamlhp/awesome-machine-unlearning
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Apr 28, 2024 - HTML
Awesome Federated Unlearning (FU) Papers (Continually Update)
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Apr 24, 2024
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Apr 18, 2024
Code for the paper "DUCK: Distance-based Unlearning via Centroid Kinematics"
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Apr 13, 2024 - Python
This repo contains data and code for Task-Aware Machine Unlearning with Application to Load Forecasting.
end-to-end-learning
machine-unlearning
load-forecasting
influence-function
predict-and-optimize
objective-based-load-forecasting
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Mar 14, 2024 - Python
[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
data-privacy
machine-unlearning
forgetting
data-deletion
membership-inference-attack
unlearning
membership-inference
data-removal
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Mar 12, 2024 - Python
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Feb 10, 2024 - Jupyter Notebook
A curated list of Machine Unlearning, focusing on deep learning applications.
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Jan 4, 2024
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