---
title: "Towards Fairer AI: Strategies for Instance-Wise Unlearning Without Retraining"
url: https://daily.dev/posts/towards-fairer-ai-strategies-for-instance-wise-unlearning-without-retraining-kb2s0yj7z
source_url: https://www.marktechpost.com/2024/05/04/towards-fairer-ai-strategies-for-instance-wise-unlearning-without-retraining/
type: article
source: "Machine Learning News"
published: 2024-05-04T07:49:48.708Z
updated: 2024-05-09T09:28:47.883Z
tags: ["machine-learning", "deep-learning", "data-privacy", "classification"]
reading_time: 4
upvotes: 5
comments: 0
language: en
---

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# Towards Fairer AI: Strategies for Instance-Wise Unlearning Without Retraining

**[Machine Learning News](https://daily.dev/sources/mlnews)** · 4 min read · 5 upvotes · 0 comments

## Summary

The post discusses the need for techniques to allow machine learning models to unlearn specific data subsets to reduce the risk of unauthorized access or exploitation. It introduces a novel approach called instance-wise unlearning, which aims to prevent information leakage and enhance model resilience. The approach leverages adversarial examples and weight importance measures for regularization, demonstrating superior performance in preserving accuracy on remaining data.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.marktechpost.com/2024/05/04/towards-fairer-ai-strategies-for-instance-wise-unlearning-without-retraining/>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#deep-learning](https://daily.dev/tags/deep-learning), [#data-privacy](https://daily.dev/tags/data-privacy), [#classification](https://daily.dev/tags/classification)

[View this post on daily.dev](https://daily.dev/posts/towards-fairer-ai-strategies-for-instance-wise-unlearning-without-retraining-kb2s0yj7z)
