mlsanityData to 7 Oct 2026

Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM

arXiv 2302.10280 ↗First posted 27 Jan 2023cs.CVcited by 3

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Abstract (arXiv)

Social media is currently being used by many individuals online as a major source of information. However, not all information shared online is true, even photos and videos can be doctored. Deepfakes have recently risen with the rise of technological advancement and have allowed nefarious online users to replace one face with a computer generated face of anyone they would like, including important political and cultural figures. Deepfakes are now a tool to be able to spread mass misinformation. There is now an immense need to create models that are able to detect deepfakes and keep them from being spread as seemingly real images or videos. In this paper, we propose a new deepfake detection schema using two popular machine learning algorithms.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 15 of its 30 references that are in the map. First posted on arXiv 27 Jan 2023.

Builds on

15 of 30 references.

References · 15

  1. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 5,986
  2. 2018Exposing Deep Fakes Using Inconsistent Head Posescited by 294
  3. 2018DeepFakes: a New Threat to Face Recognition? Assessment and Detectioncited by 208
  4. 2019The Deepfake Detection Challenge (DFDC) Preview Datasetcited by 208
  5. 2020DeepFake Detection by Analyzing Convolutional Tracescited by 81
  6. 2019Unmasking DeepFakes with simple Featurescited by 78
  7. 2021Fighting deepfakes by detecting GAN DCT anomaliescited by 39
  8. 2021Wavelet-Packets for Deepfake Image Analysis and Detectioncited by 25
  9. 2021Applications of Recurrent Neural Network for Biometric Authentication & Anomaly Detectioncited by 15
  10. 2022On the Exploitation of Deepfake Model Recognitioncited by 14
  11. 2022Hold On and Swipe: A Touch-Movement Based Continuous Authentication Schema based on Machine Learningcited by 12
  12. 2021Machine Learning Algorithms In User Authentication Schemescited by 11
3 more
  1. 2021A Modern Analysis of Aging Machine Learning Based IoT Cybersecurity Methodscited by 10
  2. 2022Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authenticationcited by 9
  3. 2021Adversarially robust deepfake media detection using fused convolutional neural network predictionscited by 5

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Cited by year

Citing papers per year: 2023: 2; 2024: 0; 2025: 1.

3 papers.