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Machine Unlearning is an emerging paradigm for selectively removing the impact of training datapoints from a network.
Towards Making Systems Forget with Machine Unlearning
Yinzhi Cao and Junfeng Yang · 2015
Earlier work this paper cites.
RISE: Randomized Input Sampling for Explanation of Black-box Models
Vitali Petsiuk, Abir Das, and Kate Saenko · 2018
Earlier work this paper cites.
Making AI Forget You: Data Deletion in Machine Learning
Antonio Ginart, Melody Guan, Gregory Valiant, and James Y Zou · 2019
Earlier work this paper cites.
Variational Bayesian Unlearning
Quoc Phong Nguyen, Bryan Kian Hsiang Low, and Patrick Jaillet · 2020
Earlier work this paper cites.
Deltagrad: Rapid retraining of machine learning models
Yinjun Wu, Edgar Dobriban, and Susan Davidson · 2020
Earlier work this paper cites.
Eternal sunshine of the spotless net: Selective forgetting in deep networks
Aditya Golatkar, Alessandro Achille, and Stefano Soatto · 2020
Earlier work this paper cites.
Forgetting outside the box: Scrubbing deep networks of information accessible from input-output observations
Aditya Golatkar, Alessandro Achille, and Stefano Soatto · 2020
Cited alongside, same era.
Selective Forgetting of Deep Networks at a Finer Level than Samples
Tomohiro Hayase, Suguru Yasutomi, and Takashi Katoh · 2020
Cited alongside, same era.
Right to be forgotten in the age of machine learning
Quang-Vinh Dang · 2021
Cited alongside, same era.
Approximate data deletion from machine learning models
Zachary Izzo, Mary Anne Smart, Kamalika Chaudhuri, and James Zou · 2021
Cited alongside, same era.
Machine unlearning
Lucas Bourtoule, Varun Chandrasekaran, Christopher A Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas Papernot · 2021
Cited alongside, same era.
Descent-to-delete: Gradient-based methods for machine unlearning
A Survey of Machine Unlearning
Thanh Tam Nguyen, Thanh Trung Huynh, Phi Le Nguyen, Alan Wee-Chung Liew, Hongzhi Yin, and Quoc Viet Hung Nguyen · 2022
Later among the works it cites.
Machine unlearning: Linear filtration for logit-based classifiers
Thomas Baumhauer, Pascal Schöttle, and Matthias Zeppelzauer · 2022
Later among the works it cites.
HINT: Hierarchical Neuron Concept Explainer
Andong Wang, Wei-Ning Lee, and Xiaojuan Qi · 2022
Later among the works it cites.
Fast Yet Effective Machine Unlearning
Ayush K Tarun, Vikram S Chundawat, Murari Mandal, and Mohan Kankanhalli · 2023
Closest in time.
Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks using an Incompetent Teacher
Vikram S Chundawat, Ayush K Tarun, Murari Mandal, and Mohan Kankanhalli · 2023
Closest in time.
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Seth Neel, Aaron Roth, and Saeed Sharifi-Malvajerdi · 2021
Cited alongside, same era.