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researcher

Lina Wang

4 papers hereh-index 12613 citations22 works total

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

author position
  • middle author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CR3
  • cs.CV1
same name
  • Lina Wang — 7 papers, h 24
  • Lina Wang — 3 papers, h 11
  • Lina Wang — 3 papers, h 2
  • Lina Wang — 3 papers, h 7
  • Lina Wang — 3 papers, h 2
  • Lina Wang — 2 papers, h 3

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
20202023
most citedFakeTagger: Robust Safeguards against DeepFake Dissemination via Provenance Tracking

9 citations · 12 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023

Dual-level Interaction for Domain Adaptive Semantic Segmentation

Dongyu Yao, Boheng Li

Self-training approach recently secures its position in domain adaptive semantic segmentation, where a model is trained with target domain pseudo-labels. Current advances have miti…

cs.CR2022★ 2 cited

Free Fine-tuning: A Plug-and-Play Watermarking Scheme for Deep Neural Networks

Run Wang, Jixing Ren, Boheng Li +6

Watermarking has been widely adopted for protecting the intellectual property (IP) of Deep Neural Networks (DNN) to defend the unauthorized distribution. Unfortunately, the popular…

cs.CR2022★ 1 cited

Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware Perturbations

Run Wang, Ziheng Huang, Zhikai Chen +3

DeepFake is becoming a real risk to society and brings potential threats to both individual privacy and political security due to the DeepFaked multimedia are realistic and convinc…

cs.CR2020★ 9 cited

FakeTagger: Robust Safeguards against DeepFake Dissemination via Provenance Tracking

Run Wang, Felix Juefei-Xu, Meng Luo +2

In recent years, DeepFake is becoming a common threat to our society, due to the remarkable progress of generative adversarial networks (GAN) in image synthesis. Unfortunately, exi…

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