Digital Evidence Acquisition and Deepfake Detection with Decentralized Applications-Reference-Cited by-同舟云学术

Digital Evidence Acquisition and Deepfake Detection with Decentralized Applications

Published:2022-07-08 Issue: Volume: Page:
ISSN:
Container-title:Practice and Experience in Advanced Research Computing
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Author:

Taeb Maryam¹,Chi Hongmei²,Bernadin Shonda¹

Affiliation:

1. FAMU-FSU College of Electrical and Computer Engineering, Florida Agricultural and Mechanical University, USA

2. Computer and Information Sciences, Florida Agricultural and Mechanical University, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3491418.3535127

Reference6 articles.

1. M., Güera , David , and Edward J . Delp . "Deepfake video detection using recurrent neural networks." 2018 15th IEEE international conference on advanced video and signal-based surveillance (AVSS) . IEEE , 2018 . M., Güera, David, and Edward J. Delp. "Deepfake video detection using recurrent neural networks." 2018 15th IEEE international conference on advanced video and signal-based surveillance (AVSS). IEEE, 2018.

2. Zhao , Hanqing , "Multi-attentional deepfake detection." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021 . Zhao, Hanqing, "Multi-attentional deepfake detection." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021.

3. Aggarwal Sudhir "Design and Implementation of a Targeted Data Extraction System for Mobile Devices.” Aggarwal Sudhir "Design and Implementation of a Targeted Data Extraction System for Mobile Devices.”

4. Roussev Vassil Andres Barreto and Irfan Ahmed. "Forensic acquisition of cloud drives." arXiv preprint arXiv:1603.06542 (2016). Roussev Vassil Andres Barreto and Irfan Ahmed. "Forensic acquisition of cloud drives." arXiv preprint arXiv:1603.06542 (2016).

5. Forensic analysis of social networking applications on mobile devices

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