Face image forgery and detection techniques review

Abstract

Abstract: In recent years, the application based on artificial intelligence technology has gradually matured and widely used.While the AI technology has brought convenience to people爷s work and life, the hidden dangers of privacy and security ethics have gradually emerged.Furthermore, the social issues caused by related technologies have attracted great attention of government authorities.This paper reviews the existing face image forgery and its detection algorithms, providing references for the research on relevant policy standards.

Key words: face image forgery, face image forgery detection, artificial intelligence, security ethics

HAN Shengjie, ZHANG Yi, GE Hantao. Face image forgery and detection techniques review[J]. Information and Communications Technology and Policy, 2020, 46(7): 88-92.

Add to citation manager EndNote|Ris|BibTeX

URL: http://ictp.caict.ac.cn/EN/Y2020/V46/I7/88

[1]	CHENG Qiang, LIU Zishan. Intelligent telecommunication networks: current status and future prospects [J]. Information and Communications Technology and Policy, 2020, 46(9): 16-22.
[2]	MENG Wei, YUAN Liya, HAN Bingtao, LIU Tao. Exploration of model optimization architecture on the inference side of deep learning [J]. Information and Communications Technology and Policy, 2020, 46(9): 42-47.
[3]	PAN Feng, LYU Bo. Research on testing and inspection technology for synchronization based on artificial intelligence [J]. Information and Communications Technology and Policy, 2020, 46(9): 55-62.
[4]	Chih-Lin I, SUN Qi, WU Jie, DUAN Ran. AI in 5G networks———usage scenario and standardization progress [J]. Information and Communications Technology and Policy, 2020, 46(9): 23-30.
[5]	WEI Wei, SHANG Tieli, ZHOU Shuai. The impact and the countermeasures of Artificial Intelligence on the governance of Telecom Network Fraud [J]. Information and Communications Technology and Policy, 2020, 46(4): 80-84.
[6]	YANG Mingchuan. Big Data and Artificial Intelligence to build the future of digital transformation [J]. Information and Communications Technology and Policy, 2020, 46(4): 1-6.
[7]	KONG Ling, ZHANG Yanjie, FAN Dian. Research on the development and application of mobile edge computing [J]. Information and Communications Technology and Policy, 2020, 46(3): 81-85.
[8]	CHEN Wanling, LIU Qingsong, LIN Jiequn. Research on application of artificial intelligence technology in digital twin city [J]. Information and Communications Technology and Policy, 2020, 46(3): 16-19.
[9]	XU Muhong, WANG Xingyan. MEC technology and application in the video surveillance field [J]. Information and Communications Technology and Policy, 2020, 46(2): 87-91.
[10]	XU Minghui, JIN Le, FENG Xiaopeng. Research on smart city construction and big data security [J]. Information and Communications Technology and Policy, 2020, 46(11): 39-43.
[11]	LIANG Peng. Urban brain:navigate the new future of smart city [J]. Information and Communications Technology and Policy, 2020, 46(11): 1-6.
[12]	LI Jing, DONG Qiuli, YE Yukai. Research on end-to-end network slicing technology based on AI in mobile networks [J]. Information and Communications Technology and Policy, 2020, 46(10): 78-83.
[13]	ZHANG Jin. Current situation, challenges and suggestion of digital transformation in financial industry [J]. Information and Communications Technology and Policy, 2019, 45(9): 39-41.
[14]	DONG Yi min, ZHANG Chi. Researchonapplicationof Artificial Intelligence technology in the background of 5Gnetwork [J]. Information and Communications Technology and Policy, 2019, 45(9): 45-48.
[15]	HUANG Pan, WANG Qiong. Researchon development status and trends ofArtificial Intelligence in mobile terminals [J]. Information and Communications Technology and Policy, 2019, 45(9): 53-56.

Face image forgery and detection techniques review

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments