Explore a cutting-edge IEEE conference talk that delves into the transformation from individual computation to allied optimization in the context of privacy-preserving neural inference. Gain insights into innovative approaches for remodeling neural networks to enhance data privacy while maintaining computational efficiency. Learn about the latest advancements in privacy-preserving techniques and their applications in neural inference, as well as the potential impact on future AI systems and data protection strategies.
From Individual Computation to Allied Optimization: Remodeling Privacy-Preserving Neural Inference - 2024
Overview
Syllabus
2024 519 From Individual Computation to Allied Optimization Remodeling Privacy Preserving Neural Inf
Taught by
IEEE Symposium on Security and Privacy
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