Deepfakes Examiner: An End-to-End Deep Learning Model for Deepfakes Videos Detection-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Deepfakes Examiner: An End-to-End Deep Learning Model for Deepfakes Videos Detection

Published:2022-12-14 Issue: Volume: Page:
ISSN:
Container-title:2022 16th International Conference on Open Source Systems and Technologies (ICOSST)
language:
Short-container-title:

Author:

Ilyas Hafsa¹,Irtaza Aun²,Javed Ali¹,Malik Khalid Mahmood³

Affiliation:

1. University of Engineering and Technology,Software Engineering Department,Taxila,Pakistan

2. University of Engineering and Technology,Computer Science Department,Taxila,Pakistan

3. Oakland University Rochester,Computer Science and Engineering Department,MI,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10016770/10016797/10016871.pdf?arnumber=10016871

Reference27 articles.

1. FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals

2. Protecting World Leaders Against Deep Fakes;agarwal;CVPR Workshops,2019

3. DeepVision: Deepfakes Detection Using Human Eye Blinking Pattern

4. FaceForensics++: Learning to Detect Manipulated Facial Images

5. DeepFake Detection on Publicly Available Datasets using Modified AlexNet

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Safeguarding media integrity: A hybrid optimized deep feature fusion based deepfake detection in videos;Computers & Security;2024-07

2. A review of deep learning‐based approaches for deepfake content detection;Expert Systems;2024-02-22

3. Advancements and Challenges in Deepfake Video Detection: A Comprehensive Review;Lecture Notes in Networks and Systems;2024

4. DeepFake Videos Detection and Classification Using Resnext and LSTM Neural Network;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29

5. EfficientNetB0 Ensemble Model for Unified Deepfakes Detection;2023 17th International Conference on Open Source Systems and Technologies (ICOSST);2023-12-20

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3