Detection of Digital Manipulation in Facial Images

被引：0
|
作者：
Mehra, Aman [1 ]
Agarwal, Akshay [1 ,2 ]
Vatsa, Mayank [3 ]
Singh, Richa [3 ]
机构：
[1] IIIT Delhi, Delhi, India
[2] Texas A&M Univ, Kingsville, TX USA
[3] IIT Jodhpur, Jodhpur, Rajasthan, India
来源：
THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE | 2021年 / 35卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Advances in deep learning have enabled the creation of photo-realistic DeepFakes by switching the identity or expression of individuals. Such technology in the wrong hands can seed chaos through blackmail, extortion, and forging false statements of influential individuals. This work proposes a novel approach to detect forged videos by magnifying their temporal inconsistencies. A study is also conducted to understand role of ethnicity bias due to skewed datasets on deep fake detection. A new dataset comprising forged videos of Indian ethnicity individuals is presented to facilitate this study.
引用
收藏
页码：15845 / 15846
页数：2
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