Deepfakes originally started as cheap costing but believable video effects and have expanded into AI-generated content of every format. This session dove into the state of deepfakes and how the technology highlights an exciting but dangerous future.
29. Generating images from text
• the flower shown has yellow anther red pistil
and bright red petals.
• this flower has petals that are yellow, white and
purple and has dark lines
• the petals on this flower are white with a yellow
center
• this flower has a lot of small round pink petals.
• this flower is orange in color, and has petals that
are ruffled and rounded.
• the flower has yellow petals and the center of it
is brown
• this flower has petals that are blue and white.
• these white flowers have petals that start white
in color and end in a white towards the tips.
https://github.com/zsdonghao/text-to-image
30. Voice recognition and transcription
Mozilla's Common Voice
https://voice.mozilla.org/en
31. Text to speech
Beyond voice fonts: TacoTron2 & Waveglow
https://devblogs.nvidia.com/generate-natural-sounding-speech-from-text-in-real-time/?linkId=100000007949356
49. 0 million
550 million
1,100 million
1,650 million
2,200 million
Q4 17 Q1 18 Q2 18 Q3 18 Q4 18 Q1 19
https://fbnewsroomus.files.wordpress.com/2019/05/cser-data-snapshot-052219-final-hires.png
Facebook banned 2.2 Billion fake accounts in Q1 of 2019 alone
52. 99.8%
of all fake Facebook accounts
were caught automatically.
43.8 million
accounts were not caught until
reported.
1
user is all it takes to spread
disinformation.
An internet scale problem.
61. Top 3 web retailer
91% fake
Top EU airline
79.5% fake
Major hotel chain
47% fake
62.
63. BADASS is a nonprofit organization dedicated to providing support to
victims of revenge porn/image abuse.
If you find yourself victim of unauthorized photo sharing, deepfakes or
otherwise, contact https://badassarmy.org/