Backdoor Attacks Against Transfer Learning With Pre-Trained Deep Learning Models

Volume: 15, Issue: 3, Pages: 1526 - 1539
Published: May 1, 2022
Abstract
Transfer learning provides an effective solution for feasibly and fast customize accurate Student models, by transferring the learned knowledge of pre-trained Teacher models over large datasets via fine-tuning. Many pre-trained Teacher models used in transfer learning are publicly available and maintained by public platforms, increasing their vulnerability to backdoor attacks. In this article, we demonstrate a backdoor threat to...
Paper Details
Title
Backdoor Attacks Against Transfer Learning With Pre-Trained Deep Learning Models
Published Date
May 1, 2022
Volume
15
Issue
3
Pages
1526 - 1539
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