data attribution

DoTA: Latent Distribution Conditioned Data Attribution for Diffusion Models WACV 2026 Adversarial Attacks on Data Attribution ICLR 2025 A Versatile Influence Function for Data Attribution with Non-Decomposable Loss ICML 2025 CopyrightShield: Enhancing Diffusion Model Security Against Copyright Infringement Attacks ICCV 2025 Data Attribution: A Data-Centric Approach for Trustworthy AI Development AAAI 2025 Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models ICLR 2025 Influence Functions for Scalable Data Attribution in Diffusion Models ICLR 2025 Machine Unlearning via Simulated Oracle Matching ICLR 2025 On the Feasibility of In-Context Probing for Data Attribution NAACL 2025 Opt-In Art: Learning Art Styles Only from Few Examples NeurIPS 2025 Region-Level Data Attribution for Text-to-Image Generative Models ICCV 2025 Small-to-Large Generalization: Training Data Influences Models Consistently Across Scale ICLR 2025 TimeInf: Time Series Data Contribution via Influence Functions ICLR 2025 TokenShapley: Token Level Context Attribution with Shapley Value ACL 2025 dattri: A Library for Efficient Data Attribution NeurIPS 2024 Data Attribution for Text-to-Image Models by Unlearning Synthesized Images NeurIPS 2024 DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models ICLR 2024 Distilled Datamodel with Reverse Gradient Matching CVPR 2024 Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models ICLR 2024 Intriguing Properties of Data Attribution on Diffusion Models ICLR 2024 Most Influential Subset Selection: Challenges, Promises, and Beyond NeurIPS 2024 SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore ICLR 2024 Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models NeurIPS 2024 The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes CVPR 2024 User Inference Attacks on Large Language Models EMNLP 2024