IDefender emerged as a response to the uncontrolled use of user data for training large-scale artificial intelligence models without the consent of creators.
The Goal
To provide every user with simple yet powerful tools to protect their visual content. We believe that the right to privacy is fundamental in the digital age.
The Tech
We use a combination of adversarial attacks, structural noise, and metadata removal to achieve a high level of protection against automated recognition systems.