Leveraging Per-Instance Privacy for Machine Unlearning

Leveraging Per-Instance Privacy for Machine Unlearning

24 May 2025

Ashmita Bhattacharyya

Nicolas Papernot

Eleni Triantafillou

Gintare Karolina Dziugaite

Papers citing "Leveraging Per-Instance Privacy for Machine Unlearning"

10 / 10 papers shown

Title
Do Unlearning Methods Remove Information from Language Model Weights? Aghyad Deeb Fabien Roger AAML MU 67 21 0 11 Oct 2024
Machine Unlearning Fails to Remove Data Poisoning Attacks Martin Pawelczyk Jimmy Z. Di Yiwei Lu Gautam Kamath Ayush Sekhari Seth Neel AAML MU 84 12 0 25 Jun 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey Ziyao Liu Huanyi Ye Chen Chen Yongsen Zheng K. Lam AAML MU 79 30 0 20 Mar 2024
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks R. Entezari Hanie Sedghi O. Saukh Behnam Neyshabur MoMe 72 226 0 12 Oct 2021
Deep Learning on a Data Diet: Finding Important Examples Early in Training Mansheej Paul Surya Ganguli Gintare Karolina Dziugaite 100 446 0 15 Jul 2021
Randomness In Neural Network Training: Characterizing The Impact of Tooling Donglin Zhuang Xingyao Zhang Shuaiwen Leon Song Sara Hooker 47 76 0 22 Jun 2021
Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel Stanislav Fort Gintare Karolina Dziugaite Mansheej Paul Sepideh Kharaghani Daniel M. Roy Surya Ganguli 91 187 0 28 Oct 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 464 40,217 0 22 Oct 2020
Characterizing Structural Regularities of Labeled Data in Overparameterized Models Ziheng Jiang Chiyuan Zhang Kunal Talwar Michael C. Mozer TDI 48 99 0 08 Feb 2020
Certified Data Removal from Machine Learning Models Chuan Guo Tom Goldstein Awni Y. Hannun Laurens van der Maaten MU 82 434 0 08 Nov 2019