Not All Similarities Are Created Equal: Leveraging Data-Driven Biases to Inform GenAI Copyright Disputes

26 March 2024

Papers citing "Not All Similarities Are Created Equal: Leveraging Data-Driven Biases to Inform GenAI Copyright Disputes"

8 / 8 papers shown

Title
SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning Tianyang Xu Xiaoze Liu Feijie Wu Xiaoqian Wang Jing Gao MU 54 0 0 29 Mar 2025
Interrogating LLM design under a fair learning doctrine Johnny Tian-Zheng Wei Maggie Wang Ameya Godbole Jonathan H. Choi Robin Jia 27 0 0 22 Feb 2025
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 114 2 0 21 Feb 2025
Not Every Image is Worth a Thousand Words: Quantifying Originality in Stable Diffusion Adi Haviv Shahar Sarfaty Uri Y. Hacohen N. Elkin-Koren Roi Livni Amit H. Bermano 27 2 0 15 Aug 2024
SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation Xiaoze Liu Ting Sun Tianyang Xu Feijie Wu Cunxiang Wang Xiaoqian Wang Jing Gao AAML DeLMO AILaw 33 15 0 18 Jun 2024
Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4 Kent K. Chang Mackenzie Cramer Sandeep Soni David Bamman RALM 138 109 0 28 Apr 2023
Deduplicating Training Data Makes Language Models Better Katherine Lee Daphne Ippolito A. Nystrom Chiyuan Zhang Douglas Eck Chris Callison-Burch Nicholas Carlini SyDa 237 588 0 14 Jul 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 267 1,798 0 14 Dec 2020