[new-research] arXiv:2609.05329 — Machine Unlearning as Private Retroactive Algorithms

[github-actions]

New arXiv Research Paper

arXiv ID: 2609.05329
Title: Machine Unlearning as Private Retroactive Algorithms
Authors: Haim Kaplan, Refael Kohen, Yishay Mansour, Kobbi Nissim, Uri Stemmer
Published: 2026-09-04T16:32:11Z
URL: https://arxiv.org/abs/2609.05329

Abstract (first 300 chars)

Machine unlearning typically aims to emulate retraining from scratch: upon a deletion request, the unlearning algorithm should produce an outcome that would have been obtained had the deleted point never been included. Recent work has shown that this emulation requirement carries no meaningful priva…

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Review this paper against the OWASP GenAI Crosswalk entries and update relevant mapping files if new attack patterns or mitigations are identified.

[emmanuelgjr]

Triage: needs a maintainer call. Machine-unlearning theory (privacy of deletion). Not GenAI-specific, but bears on data-deletion claims in the DSGAI list; whether that is in scope is a maintainer call.

Triage of the weekly watcher backlog, 2026-09-14. A label and a reason only: no mapping or incident was changed. Reopen or relabel if this reading is wrong.