Data-Copying in Generative Models: A Formal Framework

25 February 2023

Papers citing "Data-Copying in Generative Models: A Formal Framework"

6 / 6 papers shown

Title
Local Lesion Generation is Effective for Capsule Endoscopy Image Data Augmentation in a Limited Data Setting Adrian B. Chłopowiec Adam R. Chłopowiec Krzysztof Galus Wojciech Cebula Martin Tabakov MedIm 38 0 0 05 Nov 2024
A Geometric Framework for Understanding Memorization in Generative Models Brendan Leigh Ross Hamidreza Kamkari Tongzi Wu Rasa Hosseinzadeh Zhaoyan Liu George Stein Jesse C. Cresswell G. Loaiza-Ganem 61 6 0 31 Oct 2024
Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Data Yu Xia Chi-Hua Wang Joshua Mabry Guang Cheng ELM 40 4 0 19 Jun 2024
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models Joshua Ward Chi-Hua Wang Guang Cheng 46 3 0 18 Jun 2024
When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning? Gavin Brown Mark Bun Vitaly Feldman Adam D. Smith Kunal Talwar 253 93 0 11 Dec 2020
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 78 390 0 20 Oct 2016