Home Entertainment Rashmika Mandanna Deepfake Video: What They Are and How to Identify Them”

Rashmika Mandanna Deepfake Video: What They Are and How to Identify Them”

by khushahal vishwakarma
Rashmika Mandanna Deepfake Videos

Rashmika Mandanna Deepfake Video:

 

In recent events, popular actress Rashmika Mandanna has found herself at the centre of controversy surrounding a deepfake video. This video, going viral on social media, depicts a woman entering an elevator, but the face has been digitally altered to resemble Mandanna. This incident has raised widespread concerns, prompting calls for legal action. Bollywood icon and co-star in the film “Goodbye,” Amitabh Bachchan, expressed his concerns about the trend of deepfakes and emphasized the need for legal action.

 

Here Rashmika Mandanna Deepfake Video:

 

 

What is a Deepfake Video?

 

The term “deepfake” combines “deep learning” with “fake.” It refers to a video manipulated using algorithms to replace a person in the original video, particularly with a public figure, making the altered video appear authentic. Deepfakes utilize artificial intelligence to create fabricated scenarios, generating images or events that never occurred. With the rise of several AI tools, the prevalence of deepfake videos has increased, exacerbating issues related to fake photos, videos, or audios.

 

How to Identify Deepfake Videos?

 

While deepfake videos can be highly convincing, there are several signs that can help identify them:

 

  1. Unnatural Eye Movements: Look for unnatural eye movements such as lack of blinking or irregular eye behavior.
  2. Inconsistencies in Color and Lighting: Pay attention to mismatches in color and lighting between the face and the background.
  3. Audio Quality: Compare audio quality and check for synchronization with lip movements.
  4. Visual Discrepancies: Analyze visual discrepancies like odd body shapes or movements, abnormal facial features, or strange gestures.
  5. Reverse Image Search: Use reverse image search to check whether the video or person is genuine.
  6. Video Metadata: Inspect the video’s metadata for any alterations or edits made.
  7. Deepfake Detection Tools: Utilize online platforms or browser extensions designed to flag suspicious videos.

 

To address the issues arising from fake content, several technologies are being developed:

 

  1. AI-Based Checks: Many tools use AI to detect manipulations in videos. For example, Microsoft has developed a tool that analyzes photos and videos, providing a confidence score on whether the content was artificially created. This tool is based on the Face Forensic++ public dataset and has been tested using the Deepfake Detection Challenge dataset.
  2. Browser Plugins: The AI Foundation created a browser plugin called Reality Defender to detect deepfake content online. Similarly, Surf Safe is another plugin that performs similar checks.
  3. Startups: Several startups are working on new solutions to combat fake content. For instance, OARO Media creates an immutable data trail that allows businesses, governing bodies, and individual users to verify any photo or video.

 

Rashmika Mandanna deepfake video controversy highlights the urgent need for legal and regulatory measures to tackle the dissemination of such content. While many technologies are rapidly being developed, they may not be widely available or 100% accurate. Identifying and sharing responsibility to spot such videos still largely relies on the users.

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