Transformation-Aware Embeddings for Image Provenance

Author:

Bharati AparnaORCID,Moreira DanielORCID,Flynn Patrick J.ORCID,de Rezende Rocha AndersonORCID,Bowyer Kevin W.ORCID,Scheirer Walter J.ORCID

Funder

DARPA and Air Force Research Laboratory

NVIDIA Corporation

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. From Provenance to Aberrations: Image Creator and Screen Reader User Perspectives on Alt Text for AI-Generated Images;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

2. SynthProv: Interpretable Framework for Profiling Identity Leakage;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

3. DECORAIT - DECentralized Opt-in/out Registry for AI Training;Proceedings of the 20th ACM SIGGRAPH European Conference on Visual Media Production;2023-11-30

4. VADER: Video Alignment Differencing and Retrieval;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

5. RoSteALS: Robust Steganography using Autoencoder Latent Space;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

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