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Yang Liu

4 papers hereh-index 10727 citations21 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CR3
  • cs.LG1
same name
  • Yang Liu — 129 papers, h 73
  • Yang Liu — 94 papers, h 65
  • Yang Liu — 41 papers, h 63
  • Yang Liu — 38 papers, h 23
  • Yang Liu — 35 papers, h 27
  • Yang Liu — 34 papers, h 39

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
20202026
most citedCloud-based Federated Boosting for Mobile Crowdsensing

6 citations · 10 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CR2026

SafeStats: Efficient 2PC Protocols for Data Statistic-Related Functions

Tanren Liu, Xianjia Meng, Yang Liu +4

Statistical analysis on sensitive datasets like medical records and financial transactions is essential for decision-making, but raises significant privacy concerns. While existing…

cs.CR2022★ 1 cited

Backdoor Defense with Machine Unlearning

Yang Liu, Mingyuan Fan, Cen Chen +4

Backdoor injection attack is an emerging threat to the security of neural networks, however, there still exist limited effective defense methods against the attack. In this paper,…

cs.CR2020★ 6 cited

Cloud-based Federated Boosting for Mobile Crowdsensing

Zhuzhu Wang, Yilong Yang, Yang Liu +3

The application of federated extreme gradient boosting to mobile crowdsensing apps brings several benefits, in particular high performance on efficiency and classification. However…

cs.LG2020★ 3 cited

Learn to Forget: Machine Unlearning via Neuron Masking

Yang Liu, Zhuo Ma, Ximeng Liu +5

Nowadays, machine learning models, especially neural networks, become prevalent in many real-world applications.These models are trained based on a one-way trip from user data: as…

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