Deep Shield: A Federated Learning Approach to Combat Online Pirated Content Using Deep Fakes-Reference-Cited by-同舟云学术

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Deep Shield: A Federated Learning Approach to Combat Online Pirated Content Using Deep Fakes

Published:2023-12-01 Issue: Volume:2022 Page:876-881
ISSN:
Container-title:2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)
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Author:

Sinha Anurag¹,Rathore Nitasha²,Singh Amar Nath³,Singh Arshroop⁴,Alkhayyat Ahmed⁵,Maheshwari Pratyush⁶

Affiliation:

1. School of Computing and Information Sciences of Mathematics,IGNOU,New Delhi,India

2. Bharati Shakti Vidhyapeeth,Department of Informatuon Technology,India

3. School of Engineering & Technology, Sharda University,Department of Computer Science & Engineering,Greater Noida

4. Saini the Emerald Heights International School,India

5. College of technical engineering, The Islamic university,Najaf,Iraq

6. Gyanodaya International School,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10433942/10434287/10434769.pdf?arnumber=10434769

Reference22 articles.

1. AlexNet Based Pirate Detection System

2. A Large-scale Comprehensive Dataset and Copy-overlap Aware Evaluation Protocol for Segment-level Video Copy Detection

3. Efficient Illegal Contents Detection and Attacker Profiling in Real Environments

4. Behind the Tube: Exploitative Monetization of Content on {YouTube};Chu,2022

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