KID-22/LLM-Unlearning-Paper-List

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chrisliu298/awesome-llm-unlearning

A resource repository for machine unlearning in large language models

Size: 42 KB - Last synced: 1 day ago - Pushed: 1 day ago - Stars: 28 - Forks: 1

jjbrophy47/machine_unlearning

Existing Literature about Machine Unlearning

Size: 603 KB - Last synced: 3 days ago - Pushed: 4 days ago - Stars: 694 - Forks: 88

tamlhp/awesome-machine-unlearning

Awesome Machine Unlearning (A Survey of Machine Unlearning)

Language: Jupyter Notebook - Size: 7.12 MB - Last synced: 11 days ago - Pushed: about 1 month ago - Stars: 612 - Forks: 49

awesome-machine-unlearning/awesome-machine-unlearning.github.io

Official Website of https://github.com/tamlhp/awesome-machine-unlearning

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MinghuiChen43/awesome-trustworthy-deep-learning

A curated list of trustworthy deep learning papers. Daily updating...

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guangyaodou/ConMU

Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning

Language: Python - Size: 31.3 KB - Last synced: 15 days ago - Pushed: 15 days ago - Stars: 2 - Forks: 0

OcraM17/DUCK

Code for the paper "DUCK: Distance-based Unlearning via Centroid Kinematics"

Language: Python - Size: 1.88 MB - Last synced: 15 days ago - Pushed: about 2 months ago - Stars: 6 - Forks: 0

jjbrophy47/dare_rf

Machine Unlearning for Random Forests

Language: Python - Size: 17 MB - Last synced: 16 days ago - Pushed: 16 days ago - Stars: 15 - Forks: 2

OPTML-Group/Unlearn-Saliency

[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

Language: Python - Size: 7.89 MB - Last synced: 17 days ago - Pushed: 17 days ago - Stars: 71 - Forks: 6

Prashanth0205/Machine-Unlearning-for-Facial-Recognition-Systems

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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bjzhb666/GS-LoRA

Continual Forgetting for Pre-trained Vision Models (CVPR 2024)

Language: Python - Size: 2.24 MB - Last synced: 22 days ago - Pushed: 22 days ago - Stars: 17 - Forks: 0

OPTML-Group/Unlearn-WorstCase

"Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, Sijia Liu

Language: Python - Size: 18.4 MB - Last synced: 29 days ago - Pushed: 29 days ago - Stars: 5 - Forks: 0

thisisfine/thisisfine

T̶̘̊h̷̙͘į̸̀ș̷͌ ̴̳̀r̴̬̕e̷̬͐p̵͍̚o̵̧̎s̶̗͂i̷͚̿t̷̟͝õ̴͙ř̵̘y̷̛̪ ̴̮͌i̶͊͜s̴̠̊ ̴̼͗f̶͘͜i̵̮͊n̴̨̊e̶̖̍!̷̝͋ ̴̨͛T̷̐͜h̷̺̔e̶̩̍r̸̰͒é̶̥ ̸̻̇ȉ̶͍s̵̡̍ ̴̛̫n̶̼̓ọ̷̀t̸̊ͅh̵̙͑ĩ̶͚n̵͙̋g̴̫̃ ̸̼͊w̷̘̿r̶̩̓o̷̠͝n̷͉͌g̶̞͒ ̷̛̼ọ̸̓v̶͍̈́e̵̺͑r̸̻̄ ̴̲̀h̸̉ͅé̶͙r̷̻̾e̷̠͛.̸̨̌

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mo-shahab/vershachi-unlearning

A framework for machine unlearning.

Language: Python - Size: 43.9 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 2 - Forks: 0

abbottyanginchina/Federated-Unlearning-Resources

Awesome Federated Unlearning (FU) Papers (Continually Update)

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OPTML-Group/Unlearn-Sparse

[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

Language: Python - Size: 359 KB - Last synced: about 2 months ago - Pushed: 3 months ago - Stars: 50 - Forks: 2

WenyanLiu/apprenticeship

A notebook of awesome privacy protection,federated learning, fairness and blockchain research materials.

Size: 4.71 MB - Last synced: 14 days ago - Pushed: about 2 years ago - Stars: 27 - Forks: 2

mims-harvard/GNNDelete

General Strategy for Unlearning in Graph Neural Networks

Language: Python - Size: 179 KB - Last synced: 2 months ago - Pushed: over 1 year ago - Stars: 31 - Forks: 8

xuwkk/task_aware_machine_unlearning

This repo contains data and code for Task-Aware Machine Unlearning with Application to Load Forecasting.

Language: Python - Size: 1.63 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 2 - Forks: 0

meghdadk/DB_unlearning

An implementation of the SIGMOD24 paper: Machine Unlearning in Learned DBs: An Experimental Analysis

Language: Python - Size: 186 KB - Last synced: about 1 month ago - Pushed: 6 months ago - Stars: 6 - Forks: 0

terru3/unlearning

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EnnengYang/Awesome-Forgetting-in-Deep-Learning

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.

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YuyangXueEd/Awesome-Deep-Machine-Unlearning

A curated list of Machine Unlearning, focusing on deep learning applications.

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thupchnsky/mufc

A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)

Language: Python - Size: 1.72 MB - Last synced: 5 months ago - Pushed: 8 months ago - Stars: 13 - Forks: 1

crashkk/Fast-and-Accurate-SNN-Model-Strengthening-for-Industrial-Applications

Fast and Accurate SNN Model Strengthening for Industrial Applications

Language: Python - Size: 26.4 KB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

Happy2Git/GUIDE

USENIX Security'23: Inductive Graph Unlearning

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MinChen00/UnlearningLeaks

Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)

Language: Python - Size: 35.2 KB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 24 - Forks: 4

MinChen00/Graph-Unlearning

Official implementation of "Graph Unlearning" (ACM CCS 2022)

Language: Python - Size: 64.5 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 17 - Forks: 6

Cranial-XIX/Continual-Learning-Private-Unlearning

Official PyTorch Implementation for Continual Learning and Private Unlearning

Language: Python - Size: 22.5 KB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 5 - Forks: 0

thupchnsky/sgc_unlearn

Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)

Language: Python - Size: 26.4 KB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 3 - Forks: 0

thupchnsky/graph_unlearn

Unlearning Graph Classifiers with Limited Data Resources (TheWebConf 2023)

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seonghobae/kaefa

# kaefa kwangwoon automated exploratory factor analysis for improving research capability to identify unexplained factor structure with complexly cross-classified multilevel structured data in R environment

Language: R - Size: 90.1 MB - Last synced: over 1 year ago - Pushed: about 2 years ago - Stars: 4 - Forks: 0