◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Xingbin Liu

3 papers here

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

author position
  • first author2
  • middle author1

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

fields
  • cs.CV2
  • cs.RO1
ORCID 0000-0001-6899-5102

identity via Semantic Scholar / OpenAlex

most citedLatent Feature Relation Consistency for Adversarial Robustness

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

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2023★ 2 cited

Latent Feature Relation Consistency for Adversarial Robustness

Xingbin Liu, Huafeng Kuang, Hong Liu +3

Deep neural networks have been applied in many computer vision tasks and achieved state-of-the-art performance. However, misclassification will occur when DNN predicts adversarial…

cs.CV2023★ 1 cited

CAT:Collaborative Adversarial Training

Xingbin Liu, Huafeng Kuang, Xianming Lin +2

Adversarial training can improve the robustness of neural networks. Previous methods focus on a single adversarial training strategy and do not consider the model property trained…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.