Privacy in Machine Learning Applications: How Deeping Source Tackles Privacy While Preserving Utility
In the dynamic landscape of deep learning applications, the emergence of machine learning as a service (MLaaS) stands out. However, as we navigate the intricacies of client-server inference, a crucial concern surfaces: privacy. This concern becomes especially prominent in scenarios where servers handle raw data from user devices.