Preventing Verbatim Memorization in Language Models Gives a False Sense
of Privacy

Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy

31 October 2022

Daphne Ippolito

Florian Tramèr

Matthew Jagielski

Christopher A. Choquette-Choo

Nicholas Carlini

Papers citing "Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy"

15 / 15 papers shown

Title
Ward: Provable RAG Dataset Inference via LLM Watermarks Nikola Jovanović Robin Staab Maximilian Baader Martin Vechev 77 1 0 04 Oct 2024
Undesirable Memorization in Large Language Models: A Survey Ali Satvaty Suzan Verberne Fatih Turkmen ELM PILM 69 7 0 03 Oct 2024
Strong Copyright Protection for Language Models via Adaptive Model Fusion Javier Abad Konstantin Donhauser Francesco Pinto Fanny Yang 35 4 0 29 Jul 2024
REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space Tomer Ashuach Martin Tutek Yonatan Belinkov KELM MU 58 4 0 13 Jun 2024
Benchmark Data Contamination of Large Language Models: A Survey Cheng Xu Shuhao Guan Derek Greene Mohand-Tahar Kechadi ELM ALM 36 38 0 06 Jun 2024
A Multi-Perspective Analysis of Memorization in Large Language Models Bowen Chen Namgi Han Yusuke Miyao 38 1 0 19 May 2024
Verifiable by Design: Aligning Language Models to Quote from Pre-Training Data Jingyu Zhang Marc Marone Tianjian Li Benjamin Van Durme Daniel Khashabi 85 9 0 05 Apr 2024
Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMs Aly M. Kassem Omar Mahmoud Niloofar Mireshghallah Hyunwoo J. Kim Yulia Tsvetkov Yejin Choi Sherif Saad Santu Rana 47 18 0 05 Mar 2024
Investigating Data Contamination for Pre-training Language Models Minhao Jiang Ken Ziyu Liu Ming Zhong Rylan Schaeffer Siru Ouyang Jiawei Han Sanmi Koyejo 23 62 0 11 Jan 2024
Privacy Preserving Large Language Models: ChatGPT Case Study Based Vision and Framework Imdad Ullah Najm Hassan S. Gill Basem Suleiman T. Ahanger Zawar Shah Junaid Qadir S. Kanhere 35 16 0 19 Oct 2023
Differentially Private Fine-tuning of Language Models Da Yu Saurabh Naik A. Backurs Sivakanth Gopi Huseyin A. Inan ... Y. Lee Andre Manoel Lukas Wutschitz Sergey Yekhanin Huishuai Zhang 134 344 0 13 Oct 2021
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
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics Sebastian Gehrmann Tosin P. Adewumi Karmanya Aggarwal Pawan Sasanka Ammanamanchi Aremu Anuoluwapo ... Nishant Subramani Wei-ping Xu Diyi Yang Akhila Yerukola Jiawei Zhou VLM 246 283 0 02 Feb 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 245 1,986 0 31 Dec 2020
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 1,808 0 14 Dec 2020