data-attribution

Mapping out the "memory" of neural nets with data attribution

Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"

A unified framework for attributing model behavior to model components, training data, and training dynamics.

[ICML 2026] SurrogateSHAP: Training-Free Contributor Attribution for Text-to-Image (T2I) Models

[ICCV 2025] Code for training and testing AR-Detector method from the paper "Region-Level Data Attribution for Text-to-Image Generative Models"

Applied TRAK data attribution and Grad-CAM on a ResNet-18 model trained on the CIFAR-10 dataset to analyze which training samples most strongly influenced the model’s predictions and to examine the shared representations between influential samples and model outputs.

Code and data for 'Auditing Poisoned Training Data for Intrusion Detection Systems' (RIVF 2026): influence-based attribution audit, 117-cell results, diagnostics. DOI 10.5281/zenodo.22035732

A reference implementation for buying access to third-party data per RAG query and splitting the payment by contribution.