How to detect a deepfake online

 

In this blog post let’s try to understand how to detect a deepfake online in a few seconds. It is actually very simple by using Sensity.

With an intuitive and accessible user interface, Sensity is commodifying the technology for detecting deepfake videos and GAN generated faces. You can easily drag & drop multiple videos and images at the same time and obtain the analysis results in a few seconds. (Format allowed: mp4, mov; png, jpeg, jfif, tiff.)

How to detect a deepfake online with no coding skills

Deepfake videos detection

By our records the number of fake videos online is growing exponentially since 2018, roughly doubling every six months. We have detected 85.047 fake videos as of December 2020.

How to detect a deepfake online with no coding skills
 

To face this incredible growth, we have built a Detection Platform that uses a combination of deep learning and automated threat intelligence, able to monitor over 500 sources where the likelihood of finding malicious deepfakes is high. You can work with Sensity’s Platform by uploading your files to get a real time analysis, or by pasting a video URL to verify its presence in our Intelligence records. Check the differences between the two approaches.

Detection by file submission:

How to detect a deepfake online with no coding skills 
 

Detection by query of our Intelligence records:

How to detect a deepfake online with no coding skills
 

Try It For Free
 

 

Detecting GAN generated images

GAN generated faces are inundating the web and are used with increasing frequency on social media and dating apps. With the quality of GAN generated faces able to deceive the unprepared average Internet user, a growing number of malicious actors are leveraging their potential for scams on dating websites, for promoting counterfeit products and to hide their identity.

In the following example, a Reuters press agency’s reporter confirmed that Twitter users trying to delegitimise Russian protests pro Navalny were indeed using GAN generated images. Sensity detector labelled these images as GAN generated with 99% confidence.

 

How to detect a deepfake online with no coding skills
 

With Sensity, you can detect this kinds of images and intercept scammers with a confidence in the range of 95-99.9%. Additionally, investigators can obtain information on attribution, on the deep learning model used to generate the synthetic picture, e.g. Stylegan2.

 

Now you now how to detect a deepfake online in a few seconds with no coding skills. For further info, join us:

 

Try It For Free

Next Articles

Automating Image Abuse: deepfake bots on Telegram

Today we go public with the findings of a new Sensity investigation into a newly uncovered deepfake ecosystem on the… Continue


How To Spot a Deepfake: Educating the Public on Deepfakes

We are proud to share Spot Deepfakes, a project we contributed to, led by Microsoft and the University of Washington’s… Continue


Please note that on our website we use cookies necessary for the functioning of our website, cookies that optimize the performance. To learn more about our cookies, how we use them and their benefit, read our Cookie Policy.

I agree