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Efficient Garbled Pseudorandom Functions and Lookup Tables from Minimal Assumption

  • 2026
  • OriginalPaper
  • Chapter
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Abstract

This chapter delves into the realm of efficient garbled pseudorandom functions (PRFs) and lookup tables, emphasizing the use of minimal assumptions to enhance practicality and security. The text begins by revisiting the foundational concepts of garbled circuits and their evolution, highlighting the significance of reducing communication complexity and improving efficiency. A key focus is on the development of garbled lookup tables (LUTs) that achieve lower communication costs compared to traditional boolean circuits, particularly when the input size is large. The chapter introduces a novel approach to constructing garbled LUTs based on pseudorandom functions (PRFs), which eliminates the need for stronger assumptions like random oracles or circular correlation robust hash (CCRH). This approach not only maintains efficiency but also ensures security based on minimal assumptions, such as the existence of one-way functions. The text provides a detailed construction of the garbled LUTs, including the one-hot garbling scheme and the garbled PRF, and demonstrates how these components are composed to achieve the desired efficiency and security. The chapter also discusses the practical implications of these constructions, including their applicability in secure machine learning and other scenarios requiring high numerical precision. Additionally, the text explores the theoretical contributions, such as the elimination of circular security in Free-XOR-based schemes, and compares the proposed methods with existing techniques. The chapter concludes with a comprehensive security proof, ensuring the robustness of the proposed schemes. Overall, this chapter offers a deep dive into the latest advancements in garbled circuits and lookup tables, providing valuable insights for professionals seeking to enhance the efficiency and security of their cryptographic implementations.

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Title
Efficient Garbled Pseudorandom Functions and Lookup Tables from Minimal Assumption
Authors
Wei-Kai Lin
Zhenghao Lu
Hong-Sheng Zhou
Copyright Year
2026
DOI
https://doi.org/10.1007/978-3-032-12287-2_3
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