Learn about CryptGPU, a system for fast privacy-preserving machine learning on GPUs, in this 15-minute IEEE conference talk. Explore the challenges of privacy-preserving machine learning, including the threat model and image classification. Discover how CryptGPU addresses the performance gap and scalability issues through GPU acceleration. Gain insights into the system overview, design, and GPU-friendly protocol design. Understand the implementation of floating-point arithmetic and private training techniques. Conclude with a comprehensive understanding of how CryptGPU enhances privacy and performance in machine learning applications.