https://openreview.net/forum?id=0jZH883i34
Model Sparsity Can Simplify Machine Unlearning | OpenReview
In response to recent data regulation requirements, machine unlearning (MU) has emerged as a critical process to remove the influence of specific examples from...
machine unlearningmodelsimplifyopenreview
https://government.economictimes.indiatimes.com/tag/machine+unlearning
Machine unlearning - Latest machine unlearning , Information & Updates - Government -ET Government
ETGovernment.com brings latest machine unlearning news, views and updates from all top sources for the Indian Government industry.
machine unlearninglatest informationupdatesgovernmentet
https://futurium.ec.europa.eu/sl/apply-ai-alliance/community-content/making-data-sharing-work-eu-why-data-provenance-and-machine-unlearning-matter
Making Data Sharing Work in the EU: Why Data Provenance and Machine Unlearning Matter | Futurium
The European Union is pursuing an ambitious vision for a competitive and trustworthy data economy. Through initiatives such as the European data strategy, the...
data sharingthe eumachine unlearningmakingwork
https://www.kaggle.com/competitions/neurips-2023-machine-unlearning
NeurIPS 2023 - Machine Unlearning | Kaggle
Erase the influence of requested samples without hurting accuracy
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https://chatpaper.com/pt/paper/174644?from=subpath-venues
From Expansion to Retraction: Long-tailed Machine Unlearning via Boundary Manipulation
The paper presents the Long-Tailed Machine Unlearning (LTMU) framework, which effectively removes tail classes from machine learning models trained on...
machine unlearningexpansionretractionlongvia
https://proceedings.neurips.cc/paper_files/paper/2024/hash/448abd486677165ceedfa790e9a61802-Abstract-Conference.html
Certified Machine Unlearning via Noisy Stochastic Gradient Descent
machine unlearninggradient descentcertifiedvianoisy
https://arxiv.org/abs/2411.13332
[2411.13332] Verifying Machine Unlearning with Explainable AI
Abstract page for arXiv paper 2411.13332: Verifying Machine Unlearning with Explainable AI
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https://www.ijlrp.com/research-paper.php?id=1831
Implementation & Analysis of Coded Machine Unlearning Protocols - IJLRP
machine unlearningimplementationanalysiscodedprotocols
https://researchwith.njit.edu/en/publications/a-unified-pac-bayesian-framework-for-machine-unlearning-via-infor/
A Unified PAC-Bayesian Framework for Machine Unlearning via Information Risk Minimization - New...
machine unlearninginformation riskunifiedpacbayesian
https://www.amazon.science/publications/safe-machine-unlearning-with-shard-graph
SAFE: Machine unlearning with shard graph - Amazon Science
We present Synergy Aware Forgetting Ensemble (SAFE), a method to adapt large models on a diverse collection of data while minimizing the expected cost to...
machine unlearningamazon sciencesafeshardgraph
https://www.practical-devsecops.com/glossary/machine-unlearning/
Machine Unlearning: How to Remove Data From Trained AI Models
Jan 30, 2026 - Learn what machine unlearning is, why it matters for AI privacy and compliance, and methods to effectively delete specific data from trained ML models securely.
how to removemachine unlearningai modelsdatatrained
https://www.catalyzex.com/paper/pseudo-probability-unlearning-towards
Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving Machine Unlearning
Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving Machine Unlearning: Paper and Code. Machine unlearning--enabling a trained model to...
pseudoprobabilityunlearningtowardsefficient