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Awesome-Machine-Unlearning

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Awesome-Machine-Unlearning

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A collection of academic articles, published methodology, and datasets on the subject of machine unlearning.


A Framework of Machine Unlearning

timeline


Surveys

Paper Title Venue Year
Making machine learning forget Annual Privacy Forum 2019
“Amnesia” - A Selection of Machine Learning Models That Can Forget User Data Very Fast CIDR 2019
Humans forget, machines remember: Artificial intelligence and the Right to Be Forgotten Computer Law & Security Review 2018
Algorithms that remember: model inversion attacks and data protection law Philosophical Transactions of the Royal Society A 2018

Model-agnostic

Paper Title Venue Year
Humans forget, machines remember: Artificial intelligence and the Right to Be Forgotten Computer Law & Security Review 2018
Humans forget, machines remember: Artificial intelligence and the Right to Be Forgotten Computer Law & Security Review 2018
Humans forget, machines remember: Artificial intelligence and the Right to Be Forgotten Computer Law & Security Review 2018

Model-intrinsic

Paper Title Venue Year
Humans forget, machines remember: Artificial intelligence and the Right to Be Forgotten Computer Law & Security Review 2018
Humans forget, machines remember: Artificial intelligence and the Right to Be Forgotten Computer Law & Security Review 2018
Humans forget, machines remember: Artificial intelligence and the Right to Be Forgotten Computer Law & Security Review 2018

Data-Driven

Paper Title Venue Year
Humans forget, machines remember: Artificial intelligence and the Right to Be Forgotten Computer Law & Security Review 2018
Humans forget, machines remember: Artificial intelligence and the Right to Be Forgotten Computer Law & Security Review 2018
Humans forget, machines remember: Artificial intelligence and the Right to Be Forgotten Computer Law & Security Review 2018

Datasets

Type: Image

Dataset #Items Disk Size Downstream Application #Papers Used
MNIST 70K 11MB Classification 29+ papers
CIFAR 60K 163MB Classification 16+ papers
SVHN 600K 400MB+ Classification 8+ papers
LSUN 69M+ 1TB+ Classification 1 paper
ImageNet 14M+ 166GB Classification 6 papers

Type: Tabular

Dataset #Items Disk Size Downstream Application #Papers Used
Adult 48K+ 10MB Classification 8+ papers
Breast Cancer 569 <1MB Classification 2 papers
Diabetes 442 <1MB Regression 3 papers

Type: Text

Dataset #Items Disk Size Downstream Application #Papers Used
IMDB Review 50k 66MB Sentiment Analysis 1 paper
Reuters 11K+ 73MB Categorization 1 paper
Newsgroup 20K 1GB+ Categorization 1 paper

Type: Sequence

Dataset #Items Disk Size Downstream Application #Papers Used
Epileptic Seizure 11K+ 7MB Timeseries Classification 1 paper
Activity Recognition 10K+ 26MB Timeseries Classification 1 paper
Botnet 72M 3GB+ Clustering 1 paper

Type: Graph

Dataset #Items Disk Size Downstream Application #Papers Used
OGB 100M+ 59MB Classification 2 papers
Cora 2K+ 4.5MB Classification 3 papers
MovieLens 1B+ 3GB+ Recommender Systems 1 paper

Disclaimer

Feel free to contact us if you have any queries or exciting news on machine unlearning. In addition, we welcome all researchers to contribute to this repository and further contribute to the knowledge of machine unlearning fields.

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Awesome-Machine-Unlearning

License:MIT License


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