2. What is Deep Fake Technology?
► Deepfakes are synthetic media in which
a person in an existing image or video
is replaced by someone's else likeness.
https://youtu.be/
aKt_9Rsj-8I
3. ORIGIN
► The term Deepfakes originated around 2017 from a Reddit
user named "Deepfakes".
► He, as well as others in the Reddit community/Deepfakes
shared Deepfakes they created.
► There were many videos involved celebrities’ faces
swapped onto the bodies of actresses in pornographic
videos, while non-pornographic content included many
videos with actor Nicolas Cage's face swapped into
various movies.
4. DEVELOPMENT
► January 2018, a proper desktop application
called Fake App was launched.
► This app allows users to easily create and share
videos with their faces swapped with each other.
► The mobile app giant Momo created the
application Zao which allows users to superimpose
their face on television and movie clips with a
single picture.
5. ► The Japanese AI company DataGrid made a full body
deepfake that can create a person from scratch.
► A mobile deepfake app, Impressions, was launched in
March 2020. It was the first app for the creation of
celebrity deepfake videos from mobile phones.
► After this, Larger companies also started to use
deepfakes.
https://youtu.b
e/NIPO2ZDTCSU
6. Advantages of deep fake
Technology
1.Professional training
► Deepfake technology can be used to create AI
Avatars for used in training videos . Startups like
London-based Synthesia have been getting more
attention from the corporate world during the
COVID pandemic since lockdowns and health
concerns have made video shoots involving real
people much more difficult to pull off.
7. 2.Research
► Outside the fields of entertainment and training,
deepfake tech can also be used to create personal
avatars. These can then be used in apps that allow people
to try on clothes or new hairstyles at home, or in training
applications in a number of professions.
https://youtu.be/
Y1HGgICqZ3c
8. 3.Art
► Star Wars fans are likely aware of the use of deepfake
technology to bring the actor Peter Cushing back to “life”
for 2016’s Rogue One: A Star Wars Story, but the
technology could also allow a host of other useful arts
applications. These include being able to go back and
change the dialogue in a video or movie without the need
for a reshoot and creating entire videos just by selecting
from a menu of presenters and entering the script.
https://youtu.be/b
yKy9kGnyvo
9. 4.Financial Saving
► Others point out that generative technology could
potentially democratise a number of industries.
By allowing the cheap creation of everything from
videos, to advertisement and games, generative
technology could allow individuals and companies
to enter these fields with less investment.
10. Disadvantages of Deepfake
Technology
1.Sockpuppets
► Deepfake photographs can be used to
create sockpuppets , non-existent persons, who
are active both online and in traditional media. A
deepfake photograph appears to have been
generated together with a legend for
an apparently non-existent person.
11. 2.Politics
► Deepfakes have been used to misrepresent well-
known politicians in videos.
https://youtu.b
e/T76bK2t2r8g
12. 3.Pornography
► Many deepfakes on the internet feature
pornography of people, often female celebrities
whose likeness is typically used without their
consent.
13. 4.Blackmail
► Deepfakes can be used to generate blackmail materials
that falsely incriminate a victim. It is possible to
repurpose commodity cryptocurrency mining hardware
with a small software program to generate this blackmail
content for any number of subjects in huge quantities,
driving up the supply of fake blackmail content limitlessly
and in highly scalable fashion.
14. HOW TO SPOT DEEP FAKE
VIDEOS
•Unnatural eye movement:
Eye movements that do not look natural
— or a lack of eye movement, such as an
absence of blinking.
•Unnatural facial expressions:
When something doesn’t look right about
a face, it could signal facial morphing.
This occurs when a simple stich of
one image has been done over another.
15. ► •Awkward facial-feature positioning:
If someone’s face is pointing one way and
their nose is pointing another, you should
be skeptical about the video’s authenticity.
► •A lack of emotion:
You also can spot facial morphing or image
stiches if someone’s face doesn’t seem to
exhibit the emotion that should go along
with what they’re supposedly saying.
16. ► •Awkward-looking body or posture:
Another sign is if a person’s body shape
doesn’t look natural or there is awkward
or inconsistent positioning of head and
body.
► •Unnatural body movement:
If someone looks distorted or off when
they
turn to the side or move their head, or
their
movements are jerky and disjointed
from one
frame to the next, you should suspect
the video is fake.
https://youtu.be/BwR
meT1lEFg
17. ► •Unnatural coloring:
Abnormal skin tone, discoloration,
weird lighting,
and misplaced shadows are all signs
that what
you’re seeing is likely fake.
► •Hair that doesn’t look real:
You won’t see frizzy or flyaway hair,
because fake
images won’t be able to generate
these individual
characteristics.
https://youtu.be
/cnUd0TpuoXI
18. ► •Teeth that don’t look real:
Algorithms may not be able to generate
individual teeth, so an absence of outlines
of individual teeth could be a clue.
► •Blurring or misalignment:
If the edges of images are blurry or
Visuals are misaligned.
19. Don’t be a viewer
Be an analytic observer
Thank You
