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SangYong Lee

2 accepted papers

2025

RUAGO: Effective and Practical Retain-Free Unlearning via Adversarial Attack and OOD Generator

NeurIPS 2025poster

With increasing regulations on private data usage in AI systems, machine unlearning has emerged as a critical solution for selectively removing sensitive information from trained models while preserving their overall utility. While many existing unlearning methods rely on the *retain data* to mitiga…

Cited by 0SourceScholar
2024

Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation

AAAI 2024technical

Recently, serious concerns have been raised about the privacy issues related to training datasets in machine learning algorithms when including personal data. Various regulations in different countries, including the GDPR grant individuals to have personal data erased, known as ‘the right to be forg…

Cited by 10SourcePDFScholar