Towards Unbounded Machine Unlearning

Deep machine unlearning is the problem of `removing' from a trained neural network a subset of its training set. This problem is very timely and has many applications, including the key tasks of removing biases (RB), resolving confusion (RC) (caused by mislabelled data in trained models), as we...

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Bibliographic Details

Main Authors:	Kurmanji, Meghdad, Triantafillou, Peter, Hayes, Jamie, Triantafillou, Eleni
Format:	Journal Article
Language:	English
Published:	20-02-2023
Subjects:	Computer Science - Cryptography and Security Computer Science - Learning
Online Access:	Get full text
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