DIY Photography

Your one stop shop for everything photo-video

  • News
  • Inspiration
  • Reviews
  • Tutorials
  • DIY
  • Gear
Search

Submit A Story

Scientists prove that deepfake detectors aren’t perfect and can still be tricked

Feb 12, 2021 by John Aldred Add Comment

  • Share
  • Tweet
  • Flipboard
  • WhatsApp

Deepfakes are simultaneously both an amazing technological achievement and also scary as hell. The potential for movies and VFX work is huge, as has been proven by a number of YouTube channels showing deep fakes vs the CG versions of characters that have reappeared in various Star Wars movies. But there are obvious nefarious implications of such technology, too.

While the recreations of deceased actors in movies are most definitely fake, deepfake videos of those still living are not always so obvious. Tech gains like Microsoft and Facebook have been working on counter-technology to spot deepfakes to help prevent the spread of misinformation online. A group of researches from UC San Diego has proven, though, that they’re far from perfect.

Engadget explains that most such detectors work by sending cropped portions of facial data to a neural network. As the deepfake is based on actual, real human facial movements, the detector checks for things that deepfakes don’t reproduce all that well – like blinking. The scientists at UC San Diego managed to find a way of getting around them by inserting data into every frame to fool the detectors.

To use these deepfake detectors in practice, we argue that it is essential to evaluate them against an adaptive adversary who is aware of these defenses and is intentionally trying to foil these defenses. We show that the current state of the art methods for deepfake detection can be easily bypassed if the adversary has complete or even partial knowledge of the detector.

The proposed solution seems fairly straightforward. Train the detectors better using a process similar to adversary training. This is where an adaptive adversary keeps generating new deepfakes that can bypass the detector while it’s being trained. This would allow it to continue to improve in spotting the tricky deepfakes without flagging genuine footage as fake.

You can read more about the research on the UC San Diego News Center website.

[via Engadget]

FIND THIS INTERESTING? SHARE IT WITH YOUR FRIENDS!

  • Share
  • Tweet
  • Flipboard
  • WhatsApp

Related posts:

Cameras of the future could have fake photo detectors built right in Twitter soon to start labeling manipulated photos and deepfake videos Travel photographers, beware of this international scam that tricked 100 people so far Instagram influencer faked her trip to Coachella to prove how easily social media can fool you

Filed Under: news Tagged With: Deepfake, fake, UC San Diego

John Aldred: from diyphotography.net

About John Aldred

John Aldred is a photographer with over 20 years of experience in the portrait and commercial worlds. He is based in Scotland and has been an early adopter - and occasional beta tester - of almost every digital imaging technology in that time. As well as his creative visual work, John uses 3D printing, electronics and programming to create his own photography and filmmaking tools and consults for a number of brands across the industry.

« Use Linear Light blend mode in Photoshop to enhance your colours the easy way
This beginner’s guide walks you through the basics of long exposure photography »

Submit A Story

Get our FREE Lighting Book

DIYP lighting book cover

* download requires newsletter signup
DIYPhotography

Recent Comments

Free Resources

Advanced lighting book

Recent Posts

  • Here’s a bullet time video booth you can build yourself
  • Ricoh has discontinued the HD PENTAX-DA 21mm F3.2AL Limited silver lens
  • This “stellar flower” unravels the twilight’s evolution in 360 degrees
  • Strobes vs Continuous LEDs – Which is right for you?
  • Wave goodbye to Apple’s My Photo Stream next month

Udi Tirosh: from diyphotography.netUdi Tirosh is an entrepreneur, photography inventor, journalist, educator, and writer based in Israel. With over 25 years of experience in the photo-video industry, Udi has built and sold several photography-related brands. Udi has a double degree in mass media communications and computer science.

Alex Baker: from diyphotography.netAlex Baker is a portrait and lifestyle driven photographer based in Valencia, Spain. She works on a range of projects from commercial to fine art and has had work featured in publications such as The Daily Mail, Conde Nast Traveller and El Mundo, and has exhibited work across Europe

David Williams: from diyphotography.netDave Williams is an accomplished travel photographer, writer, and best-selling author from the UK. He is also a photography educator and published Aurora expert. Dave has traveled extensively in recent years, capturing stunning images from around the world in a modified van. His work has been featured in various publications and he has worked with notable brands such as Skoda, EE, Boeing, Huawei, Microsoft, BMW, Conde Nast, Electronic Arts, Discovery, BBC, The Guardian, ESPN, NBC, and many others.

John Aldred: from diyphotography.netJohn Aldred is a photographer with over 20 years of experience in the portrait and commercial worlds. He is based in Scotland and has been an early adopter - and occasional beta tester - of almost every digital imaging technology in that time. As well as his creative visual work, John uses 3D printing, electronics and programming to create his own photography and filmmaking tools and consults for a number of brands across the industry.

Dunja Djudjic: from diyphotography.netDunja Djudjic is a multi-talented artist based in Novi Sad, Serbia. With 15 years of experience as a photographer, she specializes in capturing the beauty of nature, travel, and fine art. In addition to her photography, Dunja also expresses her creativity through writing, embroidery, and jewelry making.

Copyright © DIYPhotography 2006 - 2023 | About | Contact | Advertise | Write for DIYP | Full Disclosure | Privacy Policy