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Junchuan Liang

3 papers hereh-index 450 citations7 works total

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

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CR2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedFedCIP: Federated Client Intellectual Property Protection with Traitor Tracking

4 citations · 7 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CR2023★ 2 cited

A Survey on Federated Learning Poisoning Attacks and Defenses

Junchuan Lianga, Rong Wang, Chaosheng Feng +1

As one kind of distributed machine learning technique, federated learning enables multiple clients to build a model across decentralized data collaboratively without explicitly agg…

cs.CR2023★ 4 cited

FedCIP: Federated Client Intellectual Property Protection with Traitor Tracking

Junchuan Liang, Rong Wang

Federated learning is an emerging privacy-preserving distributed machine learning that enables multiple parties to collaboratively learn a shared model while keeping each party's d…

cs.LG2023★ 1 cited

Covert Communication Based on the Poisoning Attack in Federated Learning

Junchuan Liang, Rong Wang

Covert communication has become an important area of research in computer security. It involves hiding specific information on a carrier for message transmission and is often used…

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