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Han Su

4 papers hereh-index 6228 citations7 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.CV4
same name
  • Han Su — 6 papers, h 2
  • Han Su — 3 papers, h 8
  • Han Su — 2 papers, h 7
  • Han Su — 1 paper, h 1
  • Han Su — 1 paper, h 3
  • Han Su — 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

most citedAdvFAS: A robust face anti-spoofing framework against adversarial examples

13 citations · 15 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 13 cited

AdvFAS: A robust face anti-spoofing framework against adversarial examples

Jiawei Chen, Xiao Yang, Heng Yin +6

Ensuring the reliability of face recognition systems against presentation attacks necessitates the deployment of face anti-spoofing techniques. Despite considerable advancements in…

cs.CV2023

Improving Viewpoint Robustness for Visual Recognition via Adversarial Training

Shouwei Ruan, Yinpeng Dong, Hang Su +3

Viewpoint invariance remains challenging for visual recognition in the 3D world, as altering the viewing directions can significantly impact predictions for the same object. While…

cs.CV2023

Towards Viewpoint-Invariant Visual Recognition via Adversarial Training

Shouwei Ruan, Yinpeng Dong, Hang Su +3

Visual recognition models are not invariant to viewpoint changes in the 3D world, as different viewing directions can dramatically affect the predictions given the same object. Alt…

cs.CV2023★ 2 cited

Adversarial Examples Detection with Enhanced Image Difference Features based on Local Histogram Equalization

Zhaoxia Yin, Shaowei Zhu, Hang Su +3

Deep Neural Networks (DNNs) have recently made significant progress in many fields. However, studies have shown that DNNs are vulnerable to adversarial examples, where imperceptibl…

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