Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning

Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning

24 June 2024

Somnath Basu Roy Chowdhury

Krzysztof Choromanski

Arijit Sehanobish

Avinava Dubey

Snigdha Chaturvedi

Papers citing "Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning"

13 / 13 papers shown

Title
Exact Unlearning of Finetuning Data via Model Merging at Scale Kevin Kuo Amrith Rajagopal Setlur Kartik Srinivas Aditi Raghunathan Virginia Smith MoMe CLL MU 40 0 0 06 Apr 2025
Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter Zhengyi Zhong Weidong Bao Ji Wang Shuai Zhang Jingxuan Zhou Lingjuan Lyu Wei Yang Bryan Lim FedML MU 62 1 0 28 Feb 2025
UPCORE: Utility-Preserving Coreset Selection for Balanced Unlearning Vaidehi Patil Elias Stengel-Eskin Mohit Bansal MU CLL 73 2 0 20 Feb 2025
OpenGU: A Comprehensive Benchmark for Graph Unlearning Bowen Fan Yuming Ai Xunkai Li Zhilin Guo Rong-Hua Li Guoren Wang MU 30 0 0 06 Jan 2025
Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice A. Feder Cooper Christopher A. Choquette-Choo Miranda Bogen Matthew Jagielski Katja Filippova ... Abigail Z. Jacobs Andreas Terzis Hanna M. Wallach Nicolas Papernot Katherine Lee AILaw MU 79 10 0 09 Dec 2024
Position: LLM Unlearning Benchmarks are Weak Measures of Progress Pratiksha Thaker Shengyuan Hu Neil Kale Yash Maurya Zhiwei Steven Wu Virginia Smith MU 30 10 0 03 Oct 2024
Editable Concept Bottleneck Models Lijie Hu Chenyang Ren Zhengyu Hu Cheng-Long Wang Di Wang Hui Xiong Jingfeng Zhang Di Wang 17 3 0 24 May 2024
Rethinking Machine Unlearning for Large Language Models Sijia Liu Yuanshun Yao Jinghan Jia Stephen Casper Nathalie Baracaldo ... Hang Li Kush R. Varshney Mohit Bansal Sanmi Koyejo Yang Liu AILaw MU 61 79 0 13 Feb 2024
Who's Harry Potter? Approximate Unlearning in LLMs Ronen Eldan M. Russinovich MU MoMe 98 171 0 03 Oct 2023
Algorithms that Approximate Data Removal: New Results and Limitations Vinith M. Suriyakumar Ashia C. Wilson MU 34 23 0 25 Sep 2022
A Survey of Machine Unlearning Thanh Tam Nguyen T. T. Huynh Phi Le Nguyen Alan Wee-Chung Liew Hongzhi Yin Quoc Viet Hung Nguyen MU 77 150 0 06 Sep 2022
Secure and Robust Machine Learning for Healthcare: A Survey A. Qayyum Junaid Qadir Muhammad Bilal Ala I. Al-Fuqaha AAML OOD 31 368 0 21 Jan 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,003 0 20 Apr 2018