Deepsukebe nonconsensual nudification
Deepsukebe is an app launched in 2020 that creates nonconsensual pornography by undressing people using 'hyper-realistic' deepfake technology. It says its mission is to ‘make all men’s dreams come true',
Users can 'nudify' one picture for free every two hours, pay a fee in cryptocurrency for a specified number of additional photos, or earn up to 100 freebies without restrictions through a referral reward that incentivises people to promote the website online.
However, Deepsukebe has also been castigated by digital rights organisations, privacy advocates, and politicians as 'sick', unethical, and damaging to those being 'undressed'. An Olympic athlete is said to be amongst those who users claim to have nudified, according to the BBC.
In August 2021, UK member of parliament Maria Miller and others called for Deepsukebe and similar tools to be banned, arguing that that it should be an offence to distribute sexual images online without consent to reflect 'the severity of the impact on people's lives'.
Deepsukebe is seen to objectify women, in particular Asian women. According to the Huffington Post, 'Now-deleted Medium posts demonstrating how to use the site featured before-and-after pictures of Asian women exclusively.'
Deepsukebe was initially hosted on Finnish host provider Ab Stract, and registered with UK-based domain registrar TLD Registrar Solutions, with Mastercard and Visa listed as approved payment suppliers on Deepsukebe's website.
Under pressure, the service switched to offer cryptocurrency payments through Coinbase, despite the crypto exchange’s terms explicitly prohibiting illegal, obscene, and abusive usage. Coinbase apparently later cut Deepsukebe off.
In December 2021, WIRED reported that Deepsukebe had launched a decentralised partner programme that makes its algorithm available to third partiess via an API, and a referral programe that rewards users for sharing nude images created using the app. The former programme is apparently designed to avoid the service being taken offline.
It is unclear who is behind Deepsukebe, how its system works, and what impacts - direct and indirect - it has on those whose images are uploaded to and manipulated on its platform, and shared elsewhere.
Purpose: Undress women
Technology: Deepfake - image; Generative adversarial network (GAN); Neural network; Deep learning; Machine learning
Issue: Ethics; Objectification/dehumanisation; Sexualisation; Privacy
Transparency: Governance; Black box; Complaints/appeals; Marketing; Privacy
Published: September 2021
Last updated: October 2023