跳至主導覽
跳至搜尋
跳過主要內容
國立陽明交通大學研發優勢分析平台 首頁
English
中文
首頁
人員
單位
研究成果
計畫
獎項
活動
貴重儀器
影響
按專業知識、姓名或所屬機構搜尋
Poisoning attacks on face authentication systems by using the generative deformation model
Chak Tong Chan,
Szu Hao Huang
*
, Patrick Puiyui Choy
*
此作品的通信作者
資訊管理與財務金融學系
研究成果
:
Article
›
同行評審
3
引文 斯高帕斯(Scopus)
總覽
指紋
指紋
深入研究「Poisoning attacks on face authentication systems by using the generative deformation model」主題。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Keyphrases
Authentication System
100%
Facial Recognition System
100%
Deformation Model
100%
Face Authentication
100%
Poisoning Attack
100%
Machine Learning Algorithms
50%
Attack Strategy
50%
Proposed Strategy
50%
Transformation Technique
25%
Neural Network
25%
Vulnerability
25%
Low Contrast
25%
Image Quality
25%
Deep Learning
25%
Extractor
25%
Black Box
25%
Administrators
25%
Poisoning
25%
Confidential Information
25%
Human Eye
25%
Unrealistic Assumptions
25%
Abnormal Data
25%
Image Transformation
25%
Hackers
25%
Optimization Conditions
25%
VGGFace2
25%
Facial Components
25%
Computer Science
Recognition System
100%
Face Recognition
100%
Authentication System
100%
Machine Learning Algorithm
50%
Neural Network
25%
Image Quality
25%
Confidential Information
25%
Image Transformation
25%
Attack Strategy
25%
Deep Learning Method
25%
Chemical Engineering
Learning System
100%
Deep Learning Method
50%
Neural Network
50%