Adversarial examples defense method based on multi-dimensional feature maps knowledge distillation
The neural network approach has been commonly used in computer vision tasks.However, adversarial examples are able to make a neural network generate a false prediction.Adversarial training has been shown to be an effective approach to defend against the impact of adversarial examples.Nevertheless, i...
Saved in:
Main Authors: | Baolin QIU, Ping YI |
---|---|
Format: | Article |
Language: | English |
Published: |
POSTS&TELECOM PRESS Co., LTD
2022-04-01
|
Series: | 网络与信息安全学报 |
Subjects: | |
Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2022012 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Lightweight defense mechanism against adversarial attacks via adaptive pruning and robust distillation
by: Bin WANG, et al.
Published: (2022-12-01) -
Research on structure and defense of adversarial example in deep learning
by: Guanghan DUAN, et al.
Published: (2020-04-01) -
Adversarial attacks and defenses in deep learning
by: Ximeng LIU, et al.
Published: (2020-10-01) -
Moving target defense against adversarial attacks
by: Bin WANG, et al.
Published: (2021-02-01) -
Adversarial example defense algorithm for MNIST based on image reconstruction
by: Zhongyuan QIN, et al.
Published: (2022-02-01)