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This is not a picture of Obama, because it is not Obama in the video that this screenshot is from, but a synthetic human-like fake, more precisely a pre-recorded digital look-alike.

Click on the picture or Obama's appearance thieved - a public service announcement digital look-alike by Monkeypaw Productions and Buzzfeed to view an April 2018 public service announcement moving digital look-alike made to appear Obama-like. The video is accompanied with imitator sound-alike, and was made by w:Monkeypaw Productions (.com) in conjunction with w:BuzzFeed (.com). You can also View the same video at YouTube.com.^[1]

Original w:light stage used in the 1999 reflectance capture by w:Paul Debevec et al at the w:University of Southern California.

It consists of two w:rotary axes with w:height and w:radius control. A w:light source and a w:polarizer in front of the light source were placed on one arm and a camera and the other polarizer on the other arm. See picture below, for what they did to the captured reflection.

Original image by Debevec et al. – Copyright ACM 2000 – https://dl.acm.org/citation.cfm?doid=311779.344855 – Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page.

Image 1: Separating specular and diffuse reflected light

(a) Normal image in dot lighting

(b) Image of the diffuse reflection which is caught by placing a vertical polarizer in front of the light source and a horizontal in the front the camera

(c) Image of the highlight specular reflection which is caught by placing both polarizers vertically

(d) Subtraction of c from b, which yields the specular component

Images are scaled to seem to be the same luminosity.

Original image by Debevec et al. – Copyright ACM 2000 – https://dl.acm.org/citation.cfm?doid=311779.344855 – Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page.

Welcome. This is a wiki about discovering ways of minimizing or stopping the damage from synthetic human-like fakes i.e digital look-alikes and clothed digital sound-alikes that result from covert modeling i.e. thieving of the human appearance and of the naked human voice and synthesis of malicious media.

Join the struggle, support organizations and events against synthetic human-like fakes and demand laws against synthetic filth from your legislators and demand technological solutions.

SSFWIKI is an open w:non-profit w:copylefted w:public service announcement wiki that contains no pornography.

Anybody with a computer or a smartphone can edit this wiki anonymously after passing a CAPTCHA. Also free accounts are available upon reasonable request.

Definitions

When the camera does not exist, but the subject being imaged with a simulation of a (movie) camera deceives the watcher to believe it is some living or dead person it is a digital look-alike.

In 2017-2018 this started to be referred to as w:deepfake, even though altering video footage of humans with a computer with a deceiving effect is actually 20 yrs older than the name "deep fakes" or "deepfakes".^[2]^[3]

When it cannot be determined by human testing or media forensics whether some fake voice is a synthetic fake of some person's voice, or is it an actual recording made of that person's actual real voice, it is a pre-recorded digital sound-alike. This is now commonly referred to as w:audio deepfake.

Real-time digital look-and-sound-alike in a video call was used to defraud a substantial amount of money in 2023.^[4]

Articles in this wiki

Synthetic human-like fakes are sources of problems for humanity.

Organizations and events against synthetic human-like fakes lists organizations, events and services that have an aspect of being against the synthetic human-like fakes.

Laws against synthetic filth is an ongoing effort to chart out what kind of laws exist, or are in the works or could exist to counter the problems.

Help against appearance and voice theft is an ongoing effort to find help against problems of appearance and voice theft

FacePinPoint.com was a countermeasure to non-consensual pornography in 2017-2021, invented by Lionel Hagege in 2015, that would protect humanity against the destructive effects of malicious synthetic pornography, if it were revived and purveyed as a public good.

Adequate Porn Watcher AI (concept) #SSF! wiki proposed countermeasure to synthetic porn: Adequate Porn Watcher AI is a 2019 concept for an AI to protect the humans against synthetic filth attacks by looking for porn that should not be.

How to protect yourself and others from covert modeling

Biblical connection - Revelation 13 and Daniel 7, wherein Daniel 7 and Revelation 13 we are warned of this age of industrial filth, is for those who believe in Jesus. We have a list of list of Bibles and churches‎ if you want to join in studying and spreading the word against the beasts.

Introduction

Since the early 00's it has become (nearly) impossible to determine in still or moving pictures what is an image of a human, imaged with a (movie) camera and what on the other hand is a simulation of an image of a human imaged with a simulation of a camera. When there is no camera and the target being imaged with a simulation looks deceptively like some real human, dead or living, it is a digital look-alike.

Now in the late 2010's the equivalent thing is happening to our voices i.e. they can be stolen to some extent with the 2016 prototypes like w:Adobe Inc.'s w:Adobe Voco and w:Google's w:DeepMind w:WaveNet and made to say anything. When it is not possible to determine with human testing or testing with technological means what is a recording of some living or dead person's real voice and what is a simulation it is a digital sound-alike. 2018 saw the publication of Google Research's sound-like-anyone machine 'Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis' at the w:NeurIPS conference and by the end of 2019 Symantec research had learned of 3 cases where digital sound-alike technology had been used for crimes.^[5]

Then in 2018 at the w:Conference on Neural Information Processing Systems (NeurIPS) the work 'Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis' (at arXiv.org) was presented. The pre-trained model is able to steal voices from a sample of only 5 seconds with almost convincing results

The Iframe below is transcluded from 'Audio samples from "Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis"' at google.gituhub.io, the audio samples of a sound-like-anyone machine presented as at the 2018 w:NeurIPS conference by Google researchers.

Have a listen.

Observe how good the "VCTK p240" system is at deceiving to think that it is a person that is doing the talking.

Covert modeling poses growing threats to

The right to be the only one that looks like me (compromised by digital look-alikes)
The right to be the only one able to make recordings that sound like me (compromised by digital sound-alikes)

And these developments have various severe effects on the right to privacy, provability by audio and video evidence and deniability.

Therefore it is high time to act and to ban unauthorized synthetic pornography, build the Adequate Porn Watcher AI (concept) to protect humanity from visual synthetic filth and to criminalize covert modeling of the naked human voice and synthesis from a covert voice model!

Information about this wiki

Currently it is week #47 and today is Saturday 23 November 2024 and this wiki has 23 articles with 4,557 edits. 105 files have been uploaded. See more information about this wiki.

The domain stop-synthetic-filth.org is currently registered till Wednesday 2031-01-15 (check) and the registration will be extended as long as needed.

#SSF!'s predecessor domain Ban-Covert-Modeling.org #BCM! was registered on Thursday 2019-03-14. It will expire on Wednesday 2029-03-14 (check), unless renewed.