A Generative Adaptive Context Learning Framework for Large Language Models in Cheapfake Detection-Reference-Cited by-同舟云学术

A Generative Adaptive Context Learning Framework for Large Language Models in Cheapfake Detection

Published:2024-05-30 Issue: Volume: Page:1288-1293
ISSN:
Container-title:Proceedings of the 2024 International Conference on Multimedia Retrieval
language:
Short-container-title:

Author:

Pham Long-Khanh¹^ORCID,Vo-Hoang Hoa-Vien¹^ORCID,Tran Anh-Duy²^ORCID

Affiliation:

1. University of Science & Vietnam National University, Ho Chi Minh City, Vietnam

2. imec-DistriNet, KU Leuven, Leuven, Belgium

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3652583.3657597

Reference18 articles.

1. 2023. Types and origin of cheapfakes. Retrieved Mar 08, 2024 from https://antispoofing.org/cheapfakes-definition-overview-and-potential-threats/

2. Shivangi Aneja, Chris Bregler, and Matthias Nießner. 2021. Cosmos: Catching out-of-context misinformation with self-supervised learning. arXiv preprint arXiv:2101.06278 (2021).

3. Shivangi Aneja, Cise Midoglu, Duc-Tien Dang-Nguyen, Sohail Ahmed Khan, Michael Riegler, Pål Halvorsen, Chris Bregler, and Balu Adsumilli. 2022. Acm multimedia grand challenge on detecting cheapfakes. arXiv preprint arXiv:2207.14534 (2022).

4. Duc-Tien Dang-Nguyen, Sohail Ahmed Khan, Cise Midoglu, Michael Riegler, Pål Halvorsen, and Minh-Son Dao. 2023. Grand Challenge On Detecting Cheapfakes. arXiv preprint arXiv:2304.01328 (2023).

5. Overview of the Grand Challenge on Detecting Cheapfakes at ACM ICMR 2024

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1. Overview of the Grand Challenge on Detecting Cheapfakes at ACM ICMR 2024;Proceedings of the 2024 International Conference on Multimedia Retrieval;2024-05-30