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T̶̘̊h̷̙͘į̸̀ș̷͌ ̴̳̀r̴̬̕e̷̬͐p̵͍̚o̵̧̎s̶̗͂i̷͚̿t̷̟͝õ̴͙ř̵̘y̷̛̪ ̴̮͌i̶͊͜s̴̠̊ ̴̼͗f̶͘͜i̵̮͊n̴̨̊e̶̖̍!̷̝͋ ̴̨͛T̷̐͜h̷̺̔e̶̩̍r̸̰͒é̶̥ ̸̻̇ȉ̶͍s̵̡̍ ̴̛̫n̶̼̓ọ̷̀t̸̊ͅh̵̙͑ĩ̶͚n̵͙̋g̴̫̃ ̸̼͊w̷̘̿r̶̩̓o̷̠͝n̷͉͌g̶̞͒ ̷̛̼ọ̸̓v̶͍̈́e̵̺͑r̸̻̄ ̴̲̀h̸̉ͅé̶͙r̷̻̾e̷̠͛.̸̨̌
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Apr 14, 2021
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# 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
A notebook of awesome privacy protection,federated learning, fairness and blockchain research materials.
Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
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May 20, 2022
Python
Code for CVPR22 paper "Deep Unlearning via Randomized Conditionally Independent Hessians"
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Jul 9, 2022
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Official PyTorch Implementation for Continual Learning and Private Unlearning
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Jul 19, 2022
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Unlearning Graph Classifiers with Limited Data Resources (TheWebConf 2023)
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Feb 14, 2023
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Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)
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Feb 17, 2023
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General Strategy for Unlearning in Graph Neural Networks
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Feb 20, 2023
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Official implementation of "Graph Unlearning" (ACM CCS 2022)
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Mar 10, 2023
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USENIX Security'23: Inductive Graph Unlearning
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Jun 14, 2023
Jupyter Notebook
An Empirical Study of Federated Unlearning: Efficiency and Effectiveness (Accepted Conference Track Papers at ACML 2023)
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Sep 29, 2023
Python
A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)
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Oct 12, 2023
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An implementation of the SIGMOD24 paper: Machine Unlearning in Learned DBs: An Experimental Analysis
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Nov 21, 2023
Python
A curated list of Machine Unlearning, focusing on deep learning applications.
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Feb 10, 2024
Jupyter Notebook
[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
Updated
Mar 12, 2024
Python
This repo contains data and code for Task-Aware Machine Unlearning with Application to Load Forecasting.
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Mar 14, 2024
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Code for the paper "DUCK: Distance-based Unlearning via Centroid Kinematics"
Updated
Apr 13, 2024
Python
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