BATTLE AGAINST DEEPFAKES1
Introduction
In June – July (2019), an Amsterdam based cybersecurity company, Deeptrace found
around 14,700 deepfakes. It was an 84 percent increase in deepfakes within six months (since
December 2018). For this reason, many people have faced identity crisis and lost a lot of
money including businesses all around the world. Hence, the post ‘Prepare for a Long Battle
against Deepfakes’ have been chosen to get an idea about what is going on around the world
and for people with no prior knowledge can educate themselves regarding the same.
Discussion
The post is chosen because of its short and detailed analysis about what crisis the
world is facing at the moment (related to deepfake) and what various organizations are
currently doing to minimize rather prevent deepfakes. It portrays people in various videos
where they never appeared before, doing things that they not even once did and saying things
that they never really said in those videos. The effects of these can vary from harmless to
very serious ones. Harmless ones can be superimposed face of actors on their peer’s face
whereas the harmful ones can target famous leading personalities like politicians and people
with high authorities. As a result, the American Senate Intelligence Committee have called in
various technological sharing platform parties like YouTube Facebook and Twitter to
implement new policies against sharing these types of deceitful contents.
In response to this summon, Facebook teamed up with Amazon Web Services,
Microsoft, MIT, along with many other organizations organized a Deepfake Detection
Challenge. The competition officially launched on December 11, 2019 for approximately
three months. Facebook decided on offering a sum of $10 million for the project (Prepare for
a Long Battle against Deepfakes-KDnuggets, 2020). The detection process includes use of
advanced techniques like machine learning and deep learning. Python is mostly preferred for

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