Research on Privacy Techniques Based on Multi-Party Secure Computation

Privacy preservation in multi-party data sharing has become increasingly critical in today's data-driven world. This paper presents an in-depth exploration of privacy techniques grounded in multi-party secure computation. Our research focuses on the development, significance, and application of these techniques. In the literature review, we discuss the evolution and importance of privacy techniques, emphasizing the growing need for robust solutions in an era of pervasive data sharing. We delve into the basic concepts and application domains of multi-party secure computation, highlighting its relevance in addressing privacy concerns across various sectors. The core of our paper explores relevant privacy technologies and methods within the context of multi-party secure computation. We provide insights into encryption techniques for privacy protection and examine the delicate balance between security and privacy. Furthermore, we present a comprehensive model design based on Privacy Protection, showcasing its parameter settings and performance metrics.