中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [11]
沈阳自动化研究所 [3]
计算技术研究所 [2]
地理科学与资源研究所 [1]
数学与系统科学研究院 [1]
采集方式
OAI收割 [18]
内容类型
期刊论文 [17]
会议论文 [1]
发表日期
2024 [1]
2023 [3]
2022 [3]
2021 [7]
2020 [2]
2018 [2]
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浏览/检索结果:
共18条,第1-10条
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GCSA: A New Adversarial Example-Generating Scheme Toward Black-Box Adversarial Attacks
期刊论文
OAI收割
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2024, 卷号: 70, 期号: 1, 页码: 2038-2048
作者:
Fan, Xinxin
;
Li, Mengfan
;
Zhou, Jia
;
Jing, Quanliang
;
Lin, Chi
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2024/12/06
Closed box
Perturbation methods
Predictive models
Indexes
Training
Glass box
Optimization
Deep learning
adversarial examples
black-box adversarial attack
transferability
Boosting deep cross-modal retrieval hashing with adversarially robust training
期刊论文
OAI收割
APPLIED INTELLIGENCE, 2023, 页码: 13
作者:
Zhang, Xingwei
;
Zheng, Xiaolong
;
Mao, Wenji
;
Zeng, Daniel Dajun
  |  
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2023/11/17
Cross-modal retrieval
Adversarial training
Deep hashing model
Deep neural network
Named Entity Recognition of Chinese Crop Diseases and Pests Based on RoBERTa-wwm with Adversarial Training
期刊论文
OAI收割
AGRONOMY-BASEL, 2023, 卷号: 13, 期号: 3, 页码: 941
作者:
Liang, Jianqin
;
Li, Daichao
;
Lin, Yiting
;
Wu, Sheng
;
Huang, Zongcai
  |  
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2024/01/04
crop diseases and pests
named entity recognition
deep learning
pre-training language model
adversarial training
Remaining Useful Life Prediction With Partial Sensor Malfunctions Using Deep Adversarial Networks
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 121-134
作者:
Xiang Li
  |  
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2023/01/03
Adversarial training
data fusion
deep learning
remaining useful life (RUL) prediction
sensor malfunction
Towards Human-Machine Recognition Alignment: An Adversarilly Robust Multimodal Retrieval Hashing Framework
期刊论文
OAI收割
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 13
作者:
Zhang, Xingwei
;
Zheng, Xiaolong
;
Liu, Bin
;
Wang, Xiao
;
Mao, Wenji
  |  
收藏
  |  
浏览/下载:81/0
  |  
提交时间:2022/11/14
Training
Task analysis
Semantics
Perturbation methods
Feature extraction
Computational modeling
Robustness
Adversarial perturbation
adversarially robust training
deep hashing
multimodal retrieval
Adversarial Information Bottleneck
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 10
作者:
Zhai, Penglong
;
Zhang, Shihua
  |  
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2023/02/07
Robustness
Optimization
Mutual information
Deep learning
Perturbation methods
Training
Task analysis
Adversarial robustness
deep learning
hyperparameter selection
information bottleneck (IB)
Perturbation Inactivation Based Adversarial Defense for Face Recognition
期刊论文
OAI收割
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2022, 卷号: 17, 页码: 2947-2962
作者:
Ren, Min
;
Zhu, Yuhao
;
Wang, Yunlong
;
Sun, Zhenan
  |  
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2022/11/14
Face recognition
Perturbation methods
Robustness
Immune system
Principal component analysis
Deep learning
Training
Adversarial machine learning
deep learning
graph neural network
face recognition
Antidecay LSTM for Siamese Tracking With Adversarial Learning
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4475-4489
作者:
Zhao, Fei
;
Zhang, Ting
;
Wu, Yi
;
Tang, Ming
;
Wang, Jinqiao
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2021/12/28
Target tracking
Feature extraction
Computer architecture
Visualization
Training
Task analysis
Adversarial learning
deep learning
long short-term memory (LSTM)
visual tracking
Are You Confident That You Have Successfully Generated Adversarial Examples?
期刊论文
OAI收割
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 6, 页码: 2089-2099
作者:
Wang, Bo
;
Zhao, Mengnan
;
Wang, Wei
;
Wei, Fei
;
Qin, Zhan
  |  
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2021/08/15
Perturbation methods
Iterative methods
Computational modeling
Neural networks
Security
Training
Robustness
Deep neural networks
adversarial examples
structural black box
buffer
Adversarial Binary Mutual Learning for Semi-Supervised Deep Hashing
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:
Wang, Guanan
  |  
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2022/01/27
Data models
Semantics
Force
Computational modeling
Hash functions
Binary codes
Training data
Adversarial learning (AL)
deep learning
hashing