Training Data Attribution for Diffusion Models

3 June 2023

Papers citing "Training Data Attribution for Diffusion Models"

16 / 16 papers shown

Title
Machine Unlearning in Generative AI: A Survey Zheyuan Liu Guangyao Dou Zhaoxuan Tan Yijun Tian Meng-Long Jiang MU 31 14 0 30 Jul 2024
Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget Vikash Sehwag Xianghao Kong Jingtao Li Michael Spranger Lingjuan Lyu DiffM 44 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 37 0 0 20 Jul 2024
LayerMatch: Do Pseudo-labels Benefit All Layers? Chaoqi Liang Guanglei Yang Lifeng Qiao Zitong Huang Hongliang Yan Yunchao Wei W. Zuo 43 0 0 20 Jun 2024
Ablation Based Counterfactuals Zheng Dai David K Gifford 24 0 0 12 Jun 2024
DiffusionPID: Interpreting Diffusion via Partial Information Decomposition Shaurya Dewan Rushikesh Zawar Prakanshul Saxena Yingshan Chang Andrew F. Luo Yonatan Bisk DiffM 40 4 0 07 Jun 2024
Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models Anshuman Chhabra Bo Li Jian Chen Prasant Mohapatra Hongfu Liu TDI 31 0 0 06 May 2024
U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI Tanja Sarcevic Alicja Karlowicz Rudolf Mayer Ricardo A. Baeza-Yates Andreas Rauber 46 6 0 22 Apr 2024
Data Attribution for Diffusion Models: Timestep-induced Bias in Influence Estimation Tong Xie Haoyu Li Andrew Bai Cho-Jui Hsieh TDI 30 2 0 17 Jan 2024
Intriguing Properties of Data Attribution on Diffusion Models Xiaosen Zheng Tianyu Pang Chao Du Jing Jiang Min-Bin Lin TDI 34 20 1 01 Nov 2023
CopyScope: Model-level Copyright Infringement Quantification in the Diffusion Workflow Junlei Zhou Jiashi Gao Ziwei Wang Xuetao Wei 18 2 0 13 Oct 2023
Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities Xudong Shen H. Brown Jiashu Tao Martin Strobel Yao Tong Akshay Narayan Harold Soh Finale Doshi-Velez 27 3 0 22 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang G. Koulieris Hubert P. H. Shum DiffM 29 53 0 07 Jun 2023
Training Data Influence Analysis and Estimation: A Survey Zayd Hammoudeh Daniel Lowd TDI 29 82 0 09 Dec 2022
A Survey of Machine Unlearning Thanh Tam Nguyen T. T. Huynh Phi Le Nguyen Alan Wee-Chung Liew Hongzhi Yin Quoc Viet Hung Nguyen MU 77 221 0 06 Sep 2022
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,203 0 23 Aug 2019