Investigation Of Comparison on Modified CNN Techniques to Classify Fake Face in Deepfake Videos

Author:

S Abhishek Gowda1,Thillaiarasu N.1

Affiliation:

1. University Bangalore,School of Computing and IT REVA,India

Publisher

IEEE

Reference21 articles.

1. Fighting Deepfake by Exposing the Convolutional Traces on Images

2. Design of a Confidentiality Model Using Semantic-Based Information Segmentation (SBIS) and Scattered Storage in Cloud Computing;thillaiarasu;IoT and IoE Driven Smart Cities EAI/Springer Innovations in Communication and Computing,2022

3. Internet of Everything (IoE) in Smart City Paradigm Using Advanced Sensors for Handheld Devices and Equipment

4. Novel Heuristic Scheme to Enforce Safety and Confidentiality Using Feature-Based Encryption in Multi-cloud Environment (MCE);thillaiarasu;Information and Knowledge in Internet of Things EAI/Springer Innovations in Communication and Computing,2022

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1. A Comprehensive Study on Mitigating Synthetic Identity Threats Using Deepfake Detection Mechanisms;2024 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence);2024-01-18

2. Comparative analysis of GAN-based fusion deep neural models for fake face detection;Mathematical Biosciences and Engineering;2024

3. Performance Evaluation of the Infected Rice Leaves Using RCNN;2023 International Conference on System, Computation, Automation and Networking (ICSCAN);2023-11-17

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