Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions

15 September 2024

Papers citing "Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions"

29 / 29 papers shown

Title
Online Learning and Unlearning Yaxi Hu Bernhard Schölkopf Amartya Sanyal MU OnRL 79 0 0 13 May 2025
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers Hongkang Li Yihua Zhang Shuai Zhang Ming Wang Sijia Liu Pin-Yu Chen MoMe 137 5 0 15 Apr 2025
Towards Certified Unlearning for Deep Neural Networks Binchi Zhang Yushun Dong Tianhao Wang Wenlin Yao MU 84 8 0 01 Aug 2024
On Newton's Method to Unlearn Neural Networks Nhung Bui Xinyang Lu Rachael Hwee Ling Sim See-Kiong Ng Bryan Kian Hsiang Low MU 64 2 0 20 Jun 2024
Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning Zheyuan Liu Guangyao Dou Yijun Tian Chunhui Zhang Eli Chien Ziwei Zhu MU 60 18 0 28 Oct 2023
Towards Unbounded Machine Unlearning M. Kurmanji Peter Triantafillou Jamie Hayes Eleni Triantafillou MU 50 131 0 20 Feb 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 161 206 0 04 Oct 2022
Algorithms that Approximate Data Removal: New Results and Limitations Vinith Suriyakumar Ashia Wilson MU 77 27 0 25 Sep 2022
Certified Graph Unlearning Eli Chien Chao Pan O. Milenkovic MU 54 39 0 18 Jun 2022
Remember What You Want to Forget: Algorithms for Machine Unlearning Ayush Sekhari Jayadev Acharya Gautam Kamath A. Suresh FedML MU 61 293 0 04 Mar 2021
Machine Unlearning via Algorithmic Stability Enayat Ullah Tung Mai Anup B. Rao Ryan Rossi R. Arora 47 104 0 25 Feb 2021
MAAD-Face: A Massively Annotated Attribute Dataset for Face Images Philipp Terhörst Daniel Fahrmann Jan Niklas Kolf Naser Damer Florian Kirchbuchner Arjan Kuijper CVBM 31 37 0 02 Dec 2020
Amnesiac Machine Learning Laura Graves Vineel Nagisetty Vijay Ganesh MU MIACV 52 257 0 21 Oct 2020
Smooth activations and reproducibility in deep networks G. Shamir Dong Lin Lorenzo Coviello 37 22 0 20 Oct 2020
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning Seth Neel Aaron Roth Saeed Sharifi-Malvajerdi MU 45 264 0 06 Jul 2020
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations Aditya Golatkar Alessandro Achille Stefano Soatto MU OOD 107 189 0 05 Mar 2020
Loss landscapes and optimization in over-parameterized non-linear systems and neural networks Chaoyue Liu Libin Zhu M. Belkin ODL 44 258 0 29 Feb 2020
Approximate Data Deletion from Machine Learning Models Zachary Izzo Mary Anne Smart Kamalika Chaudhuri James Zou MU 41 256 0 24 Feb 2020
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Stefano Soatto CLL MU 53 483 0 12 Nov 2019
Certified Data Removal from Machine Learning Models Chuan Guo Tom Goldstein Awni Y. Hannun Laurens van der Maaten MU 77 434 0 08 Nov 2019
Making AI Forget You: Data Deletion in Machine Learning Antonio A. Ginart M. Guan Gregory Valiant James Zou MU 60 467 0 11 Jul 2019
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising Borja Balle Yu Wang MLT 47 395 0 16 May 2018
Stability and Generalization of Learning Algorithms that Converge to Global Optima Zachary B. Charles Dimitris Papailiopoulos MLT 35 162 0 23 Oct 2017
VGGFace2: A dataset for recognising faces across pose and age Qiong Cao Li Shen Weidi Xie Omkar M. Parkhi Andrew Zisserman CVBM 72 2,617 0 23 Oct 2017
Efficient Private ERM for Smooth Objectives Jiaqi Zhang Kai Zheng Wenlong Mou Liwei Wang 35 145 0 29 Mar 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 209 4,075 0 18 Oct 2016
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark Schmidt 225 1,208 0 16 Aug 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 170 6,069 0 01 Jul 2016
Differentially Private Empirical Risk Minimization Kamalika Chaudhuri C. Monteleoni Anand D. Sarwate 93 1,482 0 01 Dec 2009