Defend to keep data and results robust
With AI models being deployed into mission-critical environments every day, Modzy's adversarial threat prevention approach provides the unique ability to defend against attacks both on models and data, ensuring that information stays secure.
It's the reason you can rely on a model from Modzy to accurately identify a military vehicle from satellite imagery, even when efforts to tamper with the output present the vehicle as civilian and benign.
It's why you can be sure that models on this platform
are formally verified as robust and proven resilient against data poisoning and other security threats.
Impede model stealing
Modzy probes its models to learn the behaviors of its loss function and manipulate the input data based on estimated behavior to help prevent against model stealing
Reduce adversarial HotFlips
Employing the HotFlip, or flipping of words or characters, in adversarial training helps improve the accuracy on clean outputs while improving defense on attacks