49 citations · 72 across the 7 of their papers we have counts for
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cs.AI2023★ 8 cited
Privacy Issues in Large Language Models: A Survey
Seth Neel, Peter Chang
This is the first survey of the active area of AI research that focuses on privacy issues in Large Language Models (LLMs). Specifically, we focus on work that red-teams models to h…
cs.LG2023★ 13 cited
In-Context Unlearning: Language Models as Few Shot Unlearners
Martin Pawelczyk, Seth Neel, Himabindu Lakkaraju
Machine unlearning, the study of efficiently removing the impact of specific training instances on a model, has garnered increased attention in recent years due to regulatory guide…