Conversion of user data (images) into vector representations for deepfake detection.
Analysis of user image data for identifying patterns and anomalies indicative of manipulation or forgery.
Processing of visual data to determine the authenticity of images.
Continuous learning and model updates based on user interactions and new data to improve detection accuracy.
Generation of authenticity scores and reports.
The processing is necessary for providing our core deepfake detection services, enhancing user experience, ensuring platform security, and complying with legal obligations.
The amount and types of data collected are proportionate to the purposes of processing.
Data retention periods are limited to what is necessary for the stated purposes.
User consent is obtained for all non-essential data processing activities, particularly related to service improvements and personalized recommendations.
Data minimization principles are applied to ensure only necessary data is collected and processed.
Regular reviews are conducted to ensure ongoing relevance and necessity of processed data.
Remove or block access to the image if it meets the definition of non-consensual intimate visual depiction
Notify the user who submitted the notification about the decision taken