Unlearnable Algorithms for In-context Learning

1 February 2024

Papers citing "Unlearnable Algorithms for In-context Learning"

9 / 9 papers shown

Title
Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning Puning Yang Qizhou Wang Zhuo Huang Tongliang Liu Chengqi Zhang Bo Han MU 26 0 0 17 May 2025
SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning Tianyang Xu Xiaoze Liu Feijie Wu Xiaoqian Wang Jing Gao MU 61 0 0 29 Mar 2025
A Closer Look at Machine Unlearning for Large Language Models Xiaojian Yuan Tianyu Pang Chao Du Kejiang Chen Weiming Zhang Min Lin MU 54 5 0 10 Oct 2024
Position: LLM Unlearning Benchmarks are Weak Measures of Progress Pratiksha Thaker Shengyuan Hu Neil Kale Yash Maurya Zhiwei Steven Wu Virginia Smith MU 53 11 0 03 Oct 2024
Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges Nianwen Si Hao Zhang Heyu Chang Wenlin Zhang Dan Qu Weiqiang Zhang KELM MU 80 26 0 27 Nov 2023
Who's Harry Potter? Approximate Unlearning in LLMs Ronen Eldan M. Russinovich MU MoMe 112 178 0 03 Oct 2023
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 147 195 0 04 Oct 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
Machine Unlearning: Linear Filtration for Logit-based Classifiers Thomas Baumhauer Pascal Schöttle Matthias Zeppelzauer MU 114 130 0 07 Feb 2020