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researcher

Rongxing Lu

4 papers hereh-index 201.1k citations62 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CR4
same name
  • Rongxing Lu — 11 papers, h 47
  • Rongxing Lu — 2 papers, h 1
  • Rongxing Lu — 2 papers, h 2
  • Rongxing Lu — 2 papers, h 16
  • Rongxing Lu — 1 paper
  • Rongxing Lu — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212023
most citedAn Efficient and Multi-private Key Secure Aggregation for Federated Learning

3 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CR2023★ 3 cited

An Efficient and Multi-private Key Secure Aggregation for Federated Learning

Xue Yang, Zifeng Liu, Xiaohu Tang +2

With the emergence of privacy leaks in federated learning, secure aggregation protocols that mainly adopt either homomorphic encryption or threshold secret sharing have been widely…

cs.CR2022

Non-interactive Multi-client Searchable Symmetric Encryption with Small Client Storage

Hanqi Zhang, Chang Xu, Rongxing Lu +3

Considerable attention has been paid to dynamic searchable symmetric encryption (DSSE) which allows users to search on dynamically updated encrypted databases. To improve the perfo…

cs.CR2022

Efficient Strong Privacy-Preserving Conjunctive Keyword Search Over Encrypted Cloud Data

Chang Xu, Ruijuan Wang, Liehuang Zhu +3

Searchable symmetric encryption (SSE) supports keyword search over outsourced symmetrically encrypted data. Dynamic searchable symmetric encryption (DSSE), a variant of SSE, furthe…

cs.CR2021

Fingerprinting Image-to-Image Generative Adversarial Networks

Guanlin Li, Guowen Xu, Han Qiu +5

Generative Adversarial Networks (GANs) have been widely used in various application scenarios. Since the production of a commercial GAN requires substantial computational and human…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.