When Fakes Are Too Deep

When Fakes Are Too Deep

@vali_ax // @alarm_vali

Источники:

Social, legal, and ethical implications of AI-Generated deepfake pornography on digital platforms: A systematic literature review

За дипфейки ― к директору: как ученицы частной школы в США стали жертвами ИИ-порно

Deepfakes can cause long-lasting damage to children

Behind a Secretive Global Network of Non-Consensual Deepfake Pornography

Deepfake Porn App Clothoff Claims to be Donating to Help AI Victims

AnyDream: Secretive AI Platform Broke Stripe Rules to Rake in Money from Nonconsensual Pornographic Deepfakes

Faking It: Deepfake Porn Site’s Link to Tech Companies

How to spot deepfakes: A complete guide to protecting your organization

‘Nudify’ Deepfake Bots on Telegram Are Up to 4 Million Monthly Users 

What has changed in the AI CSAM landscape?

State of Deepfakes

Nearly 4,000 celebrities found to be victims of deepfake pornography

The Men Behind Deepfake Pornography

Смоделированные изображения порнографического характера как предмет преступлений, связанных с обращением порнографии: компаративистское исследование

К вопросу о криминализации порнографических глубоких фейков

Children, nudification tools and sexually explicit deepfakes

Non-Consensual Synthetic Intimate Imagery: Prevalence, Attitudes, and Knowledge in 10 Countries

Preliminary Forensics Analysis of DeepFake Images

Forensic Analysis Techniques for Deepfake Investigation

Deepfakes in Visual Art: Differentiating AI-Generated Art From Human Art Using Convolutional Neural Networks (CNN)

Detection of AI-Created Images Using Pixel-Wise Feature Extraction and Convolutional Neural Networks

Multi-scale Analysis Strategies in PRNU-based Tampering Localization

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