Visual explanation method for reversible neural networks

Visual explanation method for reversible neural networks

The issue of model explainability has gained significant attention in understanding the vulnerabilities and anonymous decision-making processes inherent in deep neural networks (DNN).While there has been considerable research on explainability for traditional DNN, there is a lack of exploration on t...

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Bibliographic Details
Main Authors: Xinying MU, Bingbing SONG, Fanxiao LI, Yisen ZHENG, Wei ZHOU, Yunyun DONG
Format: Article
Language:English
Published: POSTS&TELECOM PRESS Co., LTD 2023-12-01
Series:网络与信息安全学报
Subjects:
model explainability
reversible neural network
visualization
class activation mapping
artificial intelligence security
Online Access:http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2023090
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