EPISODE · Oct 14, 2024 · 17 MIN
Do Unlearning Methods Remove Information from Language Model Weights?
from Arxiv Papers · host Igor Melnyk
The paper evaluates unlearning techniques in Large Language Models, revealing that current methods inadequately remove sensitive information, allowing attackers to recover significant pre-unlearning accuracy. https://arxiv.org/abs//2410.08827 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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Do Unlearning Methods Remove Information from Language Model Weights?
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