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2025 ICML ICML 2025

Not All Wrong is Bad: Using Adversarial Examples for Unlearning

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Ali Ebrahimpour-Boroojeny, Hari Sundaram, Varun Chandrasekaran

Topics

Machine Learning > Optimization & Theory > Optimization Machine Learning > Application Areas > Domain Adaptation Deep Learning > Learning Types > Adversarial Learning

Keywords

decision boundary adversarial example membership inference fine tuning unlearning forget samples
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