Efficient Method for Robust Backdoor Detection and Removal in Feature Space Using Clean Data

The steady increase of proposed backdoor attacks on deep neural networks highlights the need for robust defense methods for their detection and removal. A backdoor attack is a type of attack where hidden triggers are added to the input data during training, with the goal of changing the behavior of...

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Bibliographic Details
Main Authors: Donik Vrsnak, Marko Subasic, Sven Loncaric
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10845767/
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