Intriguing Properties of Data Attribution on Diffusion Models

Intriguing Properties of Data Attribution on Diffusion Models

1 November 2023

Papers citing "Intriguing Properties of Data Attribution on Diffusion Models"

17 / 17 papers shown

Title
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images Sheng-Yu Wang Aaron Hertzmann Alexei A. Efros Jun-Yan Zhu Richard Zhang TDI 133 2 0 21 Feb 2025
Most Influential Subset Selection: Challenges, Promises, and Beyond Yuzheng Hu Pingbang Hu Han Zhao Jiaqi W. Ma TDI 142 2 0 10 Jan 2025
A LoRA is Worth a Thousand Pictures Chenxi Liu Towaki Takikawa Alec Jacobson DiffM OffRL 92 2 0 16 Dec 2024
CDI: Copyrighted Data Identification in Diffusion Models Jan Dubiñski Antoni Kowalczuk Franziska Boenisch Adam Dziedzic 82 1 0 19 Nov 2024
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models Jinxu Lin Linwei Tao Minjing Dong Chang Xu TDI 46 2 0 24 Oct 2024
Influence Functions for Scalable Data Attribution in Diffusion Models Bruno Mlodozeniec Runa Eschenhagen Juhan Bae Alexander Immer David Krueger Richard E. Turner TDI DiffM 75 4 0 17 Oct 2024
Towards User-Focused Research in Training Data Attribution for Human-Centered Explainable AI Elisa Nguyen Johannes Bertram Evgenii Kortukov Jean Y. Song Seong Joon Oh TDI 397 2 0 25 Sep 2024
Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget Vikash Sehwag Xianghao Kong Jingtao Li Michael Spranger Lingjuan Lyu DiffM 47 9 0 22 Jul 2024
Enhancing High-Energy Particle Physics Collision Analysis through Graph Data Attribution Techniques A. Verdone A. Devoto C. Sebastiani J. Carmignani M. D’Onofrio S. Giagu S. Scardapane M. Panella 51 0 0 20 Jul 2024
DiffusionPID: Interpreting Diffusion via Partial Information Decomposition Shaurya Dewan Rushikesh Zawar Prakanshul Saxena Yingshan Chang Andrew F. Luo Yonatan Bisk DiffM 60 4 0 07 Jun 2024
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models Dominik Hintersdorf Lukas Struppek Kristian Kersting Adam Dziedzic Franziska Boenisch 41 11 0 04 Jun 2024
Empirical influence functions to understand the logic of fine-tuning Jordan K Matelsky Lyle Ungar Konrad Paul Kording 34 0 0 01 Jun 2024
Training Data Attribution via Approximate Unrolled Differentiation Juhan Bae Wu Lin Jonathan Lorraine Roger C. Grosse TDI MU 61 12 0 20 May 2024
An Economic Solution to Copyright Challenges of Generative AI Jiachen T. Wang Zhun Deng Hiroaki Chiba-Okabe Boaz Barak Weijie J. Su 45 11 0 22 Apr 2024
Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast Xiangming Gu Xiaosen Zheng Tianyu Pang Chao Du Qian Liu Ye Wang Jing Jiang Min Lin LLMAG LM&Ro 37 50 0 13 Feb 2024
Data Attribution for Diffusion Models: Timestep-induced Bias in Influence Estimation Tong Xie Haoyu Li Andrew Bai Cho-Jui Hsieh TDI 41 2 0 17 Jan 2024
Influence Estimation for Generative Adversarial Networks Naoyuki Terashita Hiroki Ohashi Yuichi Nonaka T. Kanemaru TDI 38 12 0 20 Jan 2021