Sihang Pu

dblp:195/8301 · DBLP profile ↗
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11ranked-venue papers
3as first author
8since 2021 · last 2026
0009-0003-2056-6079ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 11 · 3 first-author · 8 since 2021Theory of computation · 1 · 1 since 2021
YearPublicationVenuePosition
2026 Malicious Private Set Union with Two-Sided Output
Sihang Pu, Jiahui Gao 0001, Ni Trieu
EUROCRYPT (2)1
2025 Fuzzy Private Set Intersection from VOLE
abstract
Private set intersection (PSI) is a well-researched cryptographic primitive that allows two parties to compute the intersection of their input sets without revealing any information about items outside of the intersection. Fuzzy private set intersection is a relatively new variant of PSI, where items are not matched exactly but “fuzzily”. Most commonly, items are points $$\textbf{q},\textbf{w}$$ in d-dimensional integer space $$\mathbb {Z}^d$$ and a point is a fuzzy match to another if it lies within a ball of radius $$\delta $$ centered at this point, with respect to some distance metric. Previous works either only support infinity $$(L_{\infty }$$ ) distance metric and standard PSI functionality, or support general Minkowski ( $$L_{\textsf{p}}$$ , $$\textsf{p}\in [1,\infty ]$$ ) distance metrics and realize richer functionalities but rely on expensive homomorphic encryptions. Our work aims to bridge this gap by giving the first construction of a fuzzy PSI protocol for general Minkowski distance metrics relying on significantly cheaper operations during the online phase. Our main building block is a novel fuzzy matching protocol based on an oblivious pseudorandom function (OPRF), which can be realized very efficiently from vector oblivious linear evaluation (VOLE). Our protocol is able to preserve the asymptotic complexity as well as the simplicity of the fuzzy matching protocol from van Baarsen and Pu (Eurocrypt ’24), while being much more concretely efficient. Additionally, we achieve several asymptotic improvements by representing intervals succinctly. Finally, we present the first fuzzy PSI protocol for infinity distance that places no assumptions on the sets of points, while maintaining asymptotic complexities comparable to the state-of-the-art fuzzy PSI protocol.
Aron van Baarsen, Sihang Pu
ASIACRYPT (5)2
2025 Enhanced Trapdoor Hashing from DDH and DCR
Geoffroy Couteau, Aditya Hegde 0003, Sihang Pu
EUROCRYPT (6)3
2024 Practical Lattice-Based Distributed Signatures for a Small Number of Signers
Nabil Alkeilani Alkadri, Nico Döttling, Sihang Pu
ACNS (1)3
2024 Fuzzy Private Set Intersection with Large Hyperballs
Aron van Baarsen, Sihang Pu
EUROCRYPT (5)2
2023 Post Quantum Fuzzy Stealth Signatures and Applications
abstract
Private payments in blockchain-based cryptocurrencies have been a topic of research, both academic and industrial, ever since the advent of Bitcoin. Stealth address payments were proposed as a solution to improve payment privacy for users and are, in fact, deployed in several major cryptocurrencies today. The mechanism lets users receive payments so that none of these payments are linkable to each other or the recipient. Currently known stealth address mechanisms either (1) are insecure in certain reasonable adversarial models, (2) are inefficient in practice or (3) are incompatible with many existing currencies.
Sihang Pu, Sri Aravinda Krishnan Thyagarajan, Nico Döttling, Lucjan Hanzlik
CCS1
2022 Batch-OT with Optimal Rate
Zvika Brakerski, Pedro Branco 0005, Nico Döttling, Sihang Pu
EUROCRYPT (2)4
2021 Laconic Private Set Intersection and Applications
Navid Alamati, Pedro Branco 0005, Nico Döttling, Sanjam Garg, Mohammad Hajiabadi, Sihang Pu
TCC (3)6
2020 A Combinatorial Approach to Quantum Random Functions
Nico Döttling, Giulio Malavolta, Sihang Pu
ASIACRYPT (2)3
2017 Trace Augmentation: What Can Be Done Even Before Preprocessing in a Profiled SCA?
Sihang Pu, Yu Yu 0001, Weijia Wang 0003, Zheng Guo 0001, Dawu Gu
CARDIS1
2016 Inner Product Masking for Bitslice Ciphers and Security Order Amplification for Linear Leakages
Weijia Wang 0003, François-Xavier Standaert, Yu Yu 0001, Sihang Pu, Zheng Guo 0001, Dawu Gu
CARDIS4