Challenges of Using Inconsistent Head Poses to Classify Deepfakes

Abstract

Political leaders, military leaders, and the general public gather information from images and video to make decisions. Media can be spread instantaneously throughout the world at low cost and anonymously using social media, allowing small groups to gain powerful influence. This leaves the United States vulnerable to deception by media forgery. The problem of media forgery is not new, but the recent advances in machine learning have led to the development of DeepFakes, which are more sophisticated and difficult to identify. DeepFakes are especially dangerous because they can be used to change the identity of a person in a video or image. Detecting DeepFakes has been the focus of academic research, and several techniques have been developed and show promising results on available data sets, but the suitability of these algorithms for deployment within the Department of Defense or any other critical environment is an open question. This research provides a decisive answer to this question for a promising recent analytic that uses inconsistent head poses to detect when an image is manipulated.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2021
Accession Number
AD1150681

Entities

People

  • Kevin D. Lutz

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Computer Vision
  • Computers
  • Data Mining
  • Deepfakes
  • Dimensionality Reduction
  • Information Science
  • Machine Learning
  • National Security
  • Neural Networks
  • Pattern Recognition
  • Social Media
  • Social Networking Services
  • Supervised Machine Learning
  • Three Dimensional
  • Two Dimensional
  • United States

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Political Violence and Terrorism Studies.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks