Tools for Verifying Neural Models' Training Data

2 July 2023

Papers citing "Tools for Verifying Neural Models' Training Data"

7 / 7 papers shown

Title
SoK: Decentralized AI (DeAI) Zhipeng Wang Rui Sun Elizabeth Lui Vatsal Shah Xihan Xiong Jiahao Sun Davide Crapis William Knottenbelt 107 1 0 26 Nov 2024
On the Societal Impact of Open Foundation Models Sayash Kapoor Rishi Bommasani Kevin Klyman Shayne Longpre Ashwin Ramaswami ... Victor Storchan Daniel Zhang Daniel E. Ho Percy Liang Arvind Narayanan 28 54 0 27 Feb 2024
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 255 318 0 11 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 226 1,320 0 02 Sep 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 387 12,150 0 04 Mar 2022
Manipulating SGD with Data Ordering Attacks Ilia Shumailov Zakhar Shumaylov Dmitry Kazhdan Yiren Zhao Nicolas Papernot Murat A. Erdogdu Ross J. Anderson AAML 112 91 0 19 Apr 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 282 2,007 0 31 Dec 2020