Secret Key

Secret keys are crucial for securing data and controlling access in various applications, from protecting speech and image data to enhancing the efficiency and privacy of large language models. Current research focuses on developing novel key-based methods for encrypting data and models, particularly within machine learning architectures like convolutional and spiking neural networks and transformers, often employing techniques like low-rank approximations and feature map transformations to improve efficiency and security. These advancements are significant for improving data privacy, model security, and the performance of computationally intensive tasks in diverse fields, including image processing, speech recognition, and natural language processing.