Forgetting Private Textual Sequences in Language Models via
Leave-One-Out Ensemble

Forgetting Private Textual Sequences in Language Models via Leave-One-Out Ensemble

28 September 2023

Ozlem Kalinli

Papers citing "Forgetting Private Textual Sequences in Language Models via Leave-One-Out Ensemble"

5 / 5 papers shown

Title
Machine Unlearning in Generative AI: A Survey Zheyuan Liu Guangyao Dou Zhaoxuan Tan Yijun Tian Meng-Long Jiang MU 29 13 0 30 Jul 2024
To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models George-Octavian Barbulescu Peter Triantafillou MU 27 16 0 06 May 2024
Knowledge Unlearning for Mitigating Privacy Risks in Language Models Joel Jang Dongkeun Yoon Sohee Yang Sungmin Cha Moontae Lee Lajanugen Logeswaran Minjoon Seo KELM PILM MU 145 110 0 04 Oct 2022
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
Emformer: Efficient Memory Transformer Based Acoustic Model For Low Latency Streaming Speech Recognition Yangyang Shi Yongqiang Wang Chunyang Wu Ching-Feng Yeh Julian Chan Frank Zhang Duc Le M. Seltzer 49 168 0 21 Oct 2020