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Z. Qin

4 papers hereh-index 6213 citations18 works total

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

author position
  • middle author2
  • last author2

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

fields
  • cs.CR4
same name
  • Z. Qin — 141 papers, h 22
  • Z. Qin — 140 papers, h 41
  • Z. Qin — 103 papers, h 10
  • Z. Qin — 73 papers, h 10
  • Z. Qin — 44 papers, h 5
  • Z. Qin — 42 papers, h 9

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
20222026
most citedQuantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding

14 citations · 32 across the 4 of their papers we have counts for

collaborators
Showing cs.CRShow all

4 papers · 1 filter

cs.CR2026

Defense against Poisoning Attacks under Shuffle-DP

Siyi Wang, Qiyao Luo, Yihua Hu +6

Differential Privacy (DP) has become the gold standard for protecting individual privacy in data analytics, and the shuffle-DP model has attracted significant attention from both a…

cs.CR2023★ 8 cited

FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis

Yiling He, Jian Lou, Zhan Qin +1

Deep learning classifiers achieve state-of-the-art performance in various risk detection applications. They explore rich semantic representations and are supposed to automatically…

cs.CR2023★ 14 cited

Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding

Yuke Hu, Wei Liang, Ruofan Wu +5

Knowledge Graph Embedding (KGE) is a fundamental technique that extracts expressive representation from knowledge graph (KG) to facilitate diverse downstream tasks. The emerging fe…

cs.CR2022★ 10 cited

DeUEDroid: Detecting Underground Economy Apps Based on UTG Similarity

Zhuo Chen, Jie Liu, Yubo Hu +7

In recent years, the underground economy is proliferating in the mobile system. These underground economy apps (UEware) make profits from providing non-compliant services, especial…

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