Machine Unlearning via Algorithmic Stability

25 February 2021

Ryan Rossi

Papers citing "Machine Unlearning via Algorithmic Stability"

23 / 23 papers shown

Title
SEPS: A Separability Measure for Robust Unlearning in LLMs Wonje Jeung Sangyeon Yoon Albert No MU VLM 218 1 0 20 May 2025
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 84 0 0 02 Mar 2025
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate Zhiqi Bu Xiaomeng Jin Bhanukiran Vinzamuri Anil Ramakrishna Kai-Wei Chang Volkan Cevher Mingyi Hong MU 144 13 0 29 Oct 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models Jinghan Jia Jiancheng Liu Yihua Zhang Parikshit Ram Nathalie Baracaldo Sijia Liu MU 139 8 0 23 Oct 2024
A Probabilistic Perspective on Unlearning and Alignment for Large Language Models Yan Scholten Stephan Günnemann Leo Schwinn MU 131 10 0 04 Oct 2024
Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions Siqiao Mu Diego Klabjan MU 115 5 0 15 Sep 2024
Towards Certified Unlearning for Deep Neural Networks Binchi Zhang Yushun Dong Tianhao Wang Wenlin Yao MU 120 13 0 01 Aug 2024
MultiDelete for Multimodal Machine Unlearning Jiali Cheng Hadi Amiri MU 93 9 0 18 Nov 2023
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning Seth Neel Aaron Roth Saeed Sharifi-Malvajerdi MU 73 275 0 06 Jul 2020
Approximate Data Deletion from Machine Learning Models Zachary Izzo Mary Anne Smart Kamalika Chaudhuri James Zou MU 72 264 0 24 Feb 2020
Certified Data Removal from Machine Learning Models Chuan Guo Tom Goldstein Awni Y. Hannun Laurens van der Maaten MU 114 450 0 08 Nov 2019
Private Stochastic Convex Optimization with Optimal Rates Raef Bassily Vitaly Feldman Kunal Talwar Abhradeep Thakurta 78 246 0 27 Aug 2019
Making AI Forget You: Data Deletion in Machine Learning Antonio A. Ginart M. Guan Gregory Valiant James Zou MU 84 480 0 11 Jul 2019
The total variation distance between high-dimensional Gaussians with the same mean Luc Devroye Abbas Mehrabian Tommy Reddad 72 229 0 19 Oct 2018
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences Borja Balle Gilles Barthe Marco Gaboardi 84 392 0 04 Jul 2018
How To Make the Gradients Small Stochastically: Even Faster Convex and Nonconvex SGD Zeyuan Allen-Zhu ODL 73 171 0 08 Jan 2018
Renyi Differential Privacy Ilya Mironov 88 1,266 0 24 Feb 2017
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 216 6,162 0 01 Jul 2016
Tight Complexity Bounds for Optimizing Composite Objectives Blake E. Woodworth Nathan Srebro 132 185 0 25 May 2016
Katyusha: The First Direct Acceleration of Stochastic Gradient Methods Zeyuan Allen-Zhu ODL 114 581 0 18 Mar 2016
Algorithmic Stability for Adaptive Data Analysis Raef Bassily Kobbi Nissim Adam D. Smith Thomas Steinke Uri Stemmer Jonathan R. Ullman 104 268 0 08 Nov 2015
Differentially Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds Raef Bassily Adam D. Smith Abhradeep Thakurta FedML 148 371 0 27 May 2014
Rényi Divergence and Kullback-Leibler Divergence T. Erven P. Harremoes 90 1,341 0 12 Jun 2012