Attribute an image to the model that generated it — from raw pixels, with a ~6M-parameter CNN (RPA).
-
Updated
Aug 18, 2026 - Python
Attribute an image to the model that generated it — from raw pixels, with a ~6M-parameter CNN (RPA).
A unified framework for attributing model behavior to model components, training data, and training dynamics.
Official code for FAME: A lightweight spatio-temporal framework for Deepfake Model Attribution using VGG-based feature extraction and temporal attention. Outperforms prior methods across DFDM, FF++, and FakeAVCeleb datasets.
This is the public version of my master's research work.
[Paper Under Revision] Lightweight Detection and Model Attribution of Synthetic Speech via Residual Statistical Fingerprints.
Official code for CapST (ACM TOMM 2025): A Capsule Network and Temporal Attention-based framework for Deepfake Model Attribution. Achieves efficient and accurate source identification across DFDM and GAN-generated datasets.
[Interspeech 2026 Long Track] Lightweight Detection and Model Attribution of Synthetic Speech via Residual Statistical Fingerprints.
Attribution of images to the text-to-image model that generated them, using a raw-pixel, 6M-parameter CNN that scales to thousands of models.
Add a description, image, and links to the model-attribution topic page so that developers can more easily learn about it.
To associate your repository with the model-attribution topic, visit your repo's landing page and select "manage topics."