mlsanityData to 7 Oct 2026

EKILA: Synthetic Media Provenance and Attribution for Generative Art

arXiv 2304.04639 ↗First posted 10 Apr 2023cs.CV cs.AIcited by 11

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Abstract (arXiv)

We present EKILA; a decentralized framework that enables creatives to receive recognition and reward for their contributions to generative AI (GenAI). EKILA proposes a robust visual attribution technique and combines this with an emerging content provenance standard (C2PA) to address the problem of synthetic image provenance -- determining the generative model and training data responsible for an AI-generated image. Furthermore, EKILA extends the non-fungible token (NFT) ecosystem to introduce a tokenized representation for rights, enabling a triangular relationship between the asset's Ownership, Rights, and Attribution (ORA). Leveraging the ORA relationship enables creators to express agency over training consent and, through our attribution model, to receive apportioned credit, including royalty payments for the use of their assets in GenAI.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 33 of its 60 references that are in the map. First posted on arXiv 10 Apr 2023.

Builds on

33 of 60 references.

References · 33

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
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  7. 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,185
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  9. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
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  11. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 5,986
  12. 2019Analyzing and Improving the Image Quality of StyleGANcited by 3,580
21 more
  1. 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,286
  2. 2019Benchmarking Neural Network Robustness to Common Corruptions and Perturbationscited by 2,857
  3. 2017Billion-scale similarity search with GPUscited by 2,477
  4. 2015Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networkscited by 2,048
  5. 2021LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairscited by 1,544
  6. 2023Extracting Training Data from Diffusion Modelscited by 723
  7. 2022Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priorscited by 487
  8. 2022Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Modelscited by 418
  9. 2019SinGAN: Learning a Generative Model from a Single Natural Imagecited by 348
  10. 2021Multi-attentional Deepfake Detectioncited by 339
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  12. 2021WildDeepfake: A Challenging Real-World Dataset for Deepfake Detectioncited by 207
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  14. 2020Responsible Disclosure of Generative Models Using Scalable Fingerprintingcited by 90
  15. 2020DeepFake Detection by Analyzing Convolutional Tracescited by 81
  16. 2022Membership Inference Attacks Against Text-to-image Generation Modelscited by 66
  17. 2023Membership Inference of Diffusion Modelscited by 46
  18. 2021ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similaritycited by 34
  19. 2021Detection and Localization of Facial Expression Manipulationscited by 15
  20. 2021OSCAR-Net: Object-centric Scene Graph Attention for Image Attributioncited by 15
  21. 2020Image-to-Image Translation with Text Guidancecited by 10

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 3; 2025: 3; 2026: 4.

11 papers.

  1. 2025SynthID-Image: Image watermarking at internet scalecited by 26
  2. 2024ProMark: Proactive Diffusion Watermarking for Causal Attributioncited by 16
  3. 2024Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generationcited by 15
  4. 2023DECORAIT -- DECentralized Opt-in/out Registry for AI Trainingcited by 7
  5. 2024A LoRA is Worth a Thousand Picturescited by 7
  6. 2025Content ARCs: Decentralized Content Rights in the Age of Generative AIcited by 3
  7. 2026Learning Probabilistic Embeddings for Unsupervised Action Segmentationcited by 1
  8. 2025The Right to Be Remembered: Preserving Maximally Truthful Digital Memory in the Age of AIcited by 0
  9. 2026TokenTrace: Multi-Concept Attribution through Watermarked Token Recoverycited by 0
  10. 2026Soft Redaction of Image Provenance via Zero-Knowledge Proofscited by 0
  11. 2026Trustworthy synthetic visual media: Evidence across the media lifecyclecited by 0