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Yan-Tsung Peng

4 papers hereh-index 443 citations6 works total

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

author position
  • middle author4

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

fields
  • cs.CV3
  • eess.AS1
same name
  • Yan-Tsung Peng — 8 papers, h 3
  • Yan-Tsung Peng — 3 papers, h 1
  • Yan-Tsung Peng — 3 papers, h 15
  • Yan-Tsung Peng — 2 papers, h 0
  • Yan-Tsung Peng — 1 paper, h 0
  • Yan-Tsung Peng — 1 paper, h 4

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
20232025
most citedAV-Lip-Sync+: Leveraging AV-HuBERT to Exploit Multimodal Inconsistency for Deepfake Detection of Frontal Face Videos

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

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2025

FAME: A Lightweight Spatio-Temporal Network for Model Attribution of Face-Swap Deepfakes

Wasim Ahmad, Yan-Tsung Peng, Yuan-Hao Chang

The widespread emergence of face-swap Deepfake videos poses growing risks to digital security, privacy, and media integrity, necessitating effective forensic tools for identifying…

cs.CV2024★ 1 cited

How Good is ChatGPT at Audiovisual Deepfake Detection: A Comparative Study of ChatGPT, AI Models and Human Perception

Sahibzada Adil Shahzad, Ammarah Hashmi, Yan-Tsung Peng +2

Multimodal deepfakes involving audiovisual manipulations are a growing threat because they are difficult to detect with the naked eye or using unimodal deep learningbased forgery d…

cs.CV2023★ 6 cited

AV-Lip-Sync+: Leveraging AV-HuBERT to Exploit Multimodal Inconsistency for Deepfake Detection of Frontal Face Videos

Sahibzada Adil Shahzad, Ammarah Hashmi, Yan-Tsung Peng +2

Multimodal manipulations (also known as audio-visual deepfakes) make it difficult for unimodal deepfake detectors to detect forgeries in multimedia content. To avoid the spread of…

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