Deconstructing Classifiers: Towards A Data Reconstruction Attack Against Text Classification Models

23 June 2023

Papers citing "Deconstructing Classifiers: Towards A Data Reconstruction Attack Against Text Classification Models"

5 / 5 papers shown

Title
NLP Security and Ethics, in the Wild Heather Lent Erick Galinkin Yiyi Chen Jens Myrup Pedersen Leon Derczynski Johannes Bjerva SILM 42 0 0 09 Apr 2025
Reconstructing training data from document understanding models Jérémie Dentan Arnaud Paran A. Shabou AAML SyDa 38 1 0 05 Jun 2024
Privacy-preserving Fine-tuning of Large Language Models through Flatness Tiejin Chen Longchao Da Huixue Zhou Pingzhi Li Kaixiong Zhou Tianlong Chen Hua Wei 29 5 0 07 Mar 2024
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 281 1,812 0 14 Dec 2020
When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning? Gavin Brown Mark Bun Vitaly Feldman Adam D. Smith Kunal Talwar 245 80 0 11 Dec 2020