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Science & Tech.
Mahesh

07/11/23 09:39 AM IST

'Deepfake’ video

In News
  • A video that supposedly shows actress Rashmika Mandanna entering an elevator has ignited a firestorm of controversy on the internet. What initially appears as genuine is, in fact, a ‘deepfake’ of the actress.
  • The original video features a British Indian girl, Zara Patel, and her face was morphed to insert Mandana’s face instead.
Deep Synthesis
  • Deep synthesis is defined as the use of technologies, including deep learning and augmented reality, to generate text, images, audio and video to create virtual scenes.
  • One of the most notorious applications of the technology is deepfakes, where synthetic media is used to swap the face or voice of one person for another.
  • Deepfakes are getting harder to detect with the advancement of technology.
Deepfake Technology
  • Deepfake technology is a method for manipulating videos, images, audios utilizing powerful computers and deep learning.
  • It is used to generate fake news and commit financial fraud among other wrong doings.
  • It overlays a digital composite over an already-existing video, picture, or audio; cybercriminals use Artificial Intelligence technology.
  • The term deepfake originated in 2017, when an anonymous Reddit user called himself “Deepfakes.”
  • This user manipulated Google’s open-source, deep-learning technology to create and post pornographic videos.
How Deepfakes can be spotted
  • Unnatural Eye movements- Deepfake videos often exhibit unnatural eye movements or gaze patterns. In genuine videos, eye movements are typically smooth and coordinated with the person’s speech and actions.
  • Mismatches in Color and Lighting- Deepfake creators may have difficulty replicating accurate colour tones and lighting conditions. Pay attention to any inconsistencies in the lighting on the subject’s face and surroundings.
  • Compare and Contrast Audio Quality- Deepfake videos often use AI-generated audio that may have subtle imperfections. Compare the audio quality with the visual content.
  • Strange Body Shape or Movement- Deepfakes can sometimes result in unnatural body shapes or movements. For example, limbs may appear too long or short, or the body may move in an unusual or distorted manner. Pay attention to these inconsistencies, especially during physical activities.
  • Artificial Facial Movements- Deepfake software may not always accurately replicate genuine facial expressions. Look for facial movements that seem exaggerated, out of sync with speech, or unrelated to the context of the video.
  • Unnatural Positioning of Facial Features- Deepfakes may occasionally exhibit distortions or misalignments in these features, which can be a sign of manipulation.
  • Awkward Posture or Physique- Deepfakes may struggle to maintain a natural posture or physique. Pay attention to any awkward body positions, proportions, or movements that appear unusual or physically implausible.
  • Apart from the above observations, you can also take a screenshot of the video and run a reverse image search to check the source and the original video.
Source- Indian Express

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