Defending Deep Neural Networks Against Backdoor Attack by Using De-Trigger Autoencoder
A backdoor attack is a method that causes misrecognition in a deep neural network by training it on additional data that have a specific trigger. The network will correctly recognize normal samples (which lack the specific trigger) as their proper classes but will misrecognize backdoor samples (whic...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9579062/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|