On-device ML offers the best privacy guarantees as well as an application that will work with no network. But why you should expose your know-how to get it?
Inference can still profit from hardware accelerators and does not suffer accuracy loss
You train your model as usual and let the skyld SDK take care of the protection.
SHIELD. We make it our top priority to protect your machine learning models and related data. Our Solution acts beforehand to make sure your environment is safe and your model well protected, and after an attack to disable and neutralize the model and related data, to make sure nobody else can ever use it.
SKILLED. Our team gathers high-profile specialists, to ensure our solution is always up to our high standards and to your great expectations. We will join forces with you and be your shield, in these booming yet dangerous artificial intelligence challenges.
After working at xBrain, Thibault Maho started a Ph.D. whose title you may not understand: « Input Space Exploration for the security of neural network models ». However, his research works impact directly the trust you can Lire la suite…
What is a model and why do we care? Machine learning models are the results of highly complex computations and optimization over a massive amount of data. Data is the fuel of a machine learning Lire la suite…
What is Edge AI? Edge AI is a contraction of two computer science notions: edge computing and artificial intelligence. According to Gartner, the edge refers to the physical location where things and people connect with Lire la suite…
contact@skyld.io