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Meiling Li

Fudan

7 papers hereh-index 477 citations13 works total

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

author position
  • first author4
  • middle author3

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.CR2
  • cs.AI1
affiliations
  • Fudan
ORCID 0000-0002-4224-8528
same name
  • Meiling Li — 1 paper, h 4
  • Meiling Li — 1 paper, h 0

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
20222026
most citedTowards Deep Network Steganography: From Networks to Networks

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

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Representation and Reference Selection in Training-Free Synthetic Image Attribution

Meiling Li, Pietro Bongini, Benedetta Tondi +1

Synthetic image attribution aims at identifying the generator responsible for a given AI-generated image. Training-free reference-based attribution methods are easily scalable, sin…

cs.CV2024

Regeneration Based Training-free Attribution of Fake Images Generated by Text-to-Image Generative Models

Meiling Li, Zhenxing Qian, Xinpeng Zhang

Text-to-image generative models have recently garnered significant attention due to their ability to generate images based on prompt descriptions. While these models have shown pro…

cs.CV2024

Object-oriented backdoor attack against image captioning

Meiling Li, Nan Zhong, Xinpeng Zhang +2

Backdoor attack against image classification task has been widely studied and proven to be successful, while there exist little research on the backdoor attack against vision-langu…

cs.CV2022★ 2 cited

Exploring Depth Information for Face Manipulation Detection

Haoyue Wang, Meiling Li, Sheng Li +2

Face manipulation detection has been receiving a lot of attention for the reliability and security of the face images. Recent studies focus on using auxiliary information or prior…

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