"Creating, Weaponizing,and Detecting Deep Fakes," a Presentation from U.C. Berkeley
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For the full video of this presentation, please visit: https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/sep-2019-alliance-vitf-ucberkeley For more information about embedded vision, please visit: http://www.embedded-vision.com Shruti Agarwal, Ph.D. Candidate at U.C. Berkeley, delivers the presentation "Creating, Weaponizing,and Detecting Deep Fakes" at the Embedded Vision Alliance's September 2019 Vision Industry and Technology Forum. Agarwal explains how to use computer vision to detect "deepfakes."
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"Creating, Weaponizing,and Detecting Deep Fakes," a Presentation from U.C. Berkeley
- 1. CREATING, WEAPONIZING, AND DETECTING DEEP FAKES SHRUTI AGARWAL UC BERKELEY
- 4. DEEP FAKES
- 10. PUPPET-MASTER DEEP FAKE source: paGAN
- 11. source: fakejoerogan.com DEEP FAKE: AUDIO SYNTHESIS
- 12. non-consensual pornography mis-information campaigns evidence tampering national security child safety fraud WEAPONIZATION OF DEEP FAKES
- 13. non-consensual pornography WEAPONIZATION OF DEEP FAKES source:DeepNude
- 14. child safety WEAPONIZATION OF DEEP FAKES source:snapchat’schildfilter
- 15. fraud WEAPONIZATION OF DEEP FAKES
- 16. FACE-SWAP PUPPET LIP-SYNC DETECTING DEEP FAKES
- 20. 18 ACTION UNITS + 2 HEAD MOVEMENTS 190 PAIRS OF EXPRESSIONS/MOVEMENTS
- 31. 0.50 0.60 0.70 0.80 0.90 1.00 random comedic face-swap lip-sync puppet AUC 10-second segment 190 FEATURES 207,933 17,3832,30830,683
- 32. 0.50 0.60 0.70 0.80 0.90 1.00 random comedic face-swap lip-sync puppet AUC 10-second 190 FEATURES 207,933 17,3832,30830,683
- 33. 0.50 0.60 0.70 0.80 0.90 1.00 1.10 random comedic face-swap lip-sync puppet AUC 10-second segment 190 FEATURES
- 34. 0.50 0.60 0.70 0.80 0.90 1.00 1.10 random comedic face-swap lip-sync puppet AUC 10-second segment * * * * * * 29 FEATURES
- 36. 0.50 0.60 0.70 0.80 0.90 1.00 1.10 random comedic face-swap AUC Clinton Sanders Trump Warren Protecting World Leaders Against Deep Fakes
- 37. • … and getting better • need to go beyond detection Ø ethical R&D Ø policies and regulations Ø public awareness DEEP FAKES ARE HERE TO STAY…