CGN: Class gradient network for the construction of adversarial samples-Reference-Cited by-同舟云学术

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CGN: Class gradient network for the construction of adversarial samples

Published:2024-01 Issue: Volume:654 Page:119855
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Li Xiang,Guo Haiwang,Deng Xinyang^ORCID,Jiang Wen

Funder

Shaanxi Province Key Research and Development Projects

Shanxi Provincial Key Research and Development Project

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference47 articles.

1. A discriminatively deep fusion approach with improved conditional gan (im-cgan) for facial expression recognition;Sun;Pattern Recognit.,2022

2. Multi-scale metric learning for few-shot learning;Jiang;IEEE Trans. Circuits Syst. Video Technol.,2020

3. Transfer learning for sar image classification via deep joint distribution adaptation networks;Geng;IEEE Trans. Geosci. Remote Sens.,2020

4. Deep neural networks-based relevant latent representation learning for hyperspectral image classification;Sellami;Pattern Recognit.,2022

5. Collaborative learning with unreliability adaptation for semi-supervised image classification;Huo;Pattern Recognit.,2023

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