Anthony Hughes
@antjhughes.bsky.social
PhD Student at University of Sheffield. Researching privacy in M/LMs.
Wrote up my first piece of PhD work last week! 🧵
Summarization via LMs is great at extracting info from documents, but how does summarization look in sensitive settings where privacy-preservation is essential?
Short answer: LMs are poor privacy preservers.
Arxiv: arxiv.org/abs/2412.12040
Summarization via LMs is great at extracting info from documents, but how does summarization look in sensitive settings where privacy-preservation is essential?
Short answer: LMs are poor privacy preservers.
Arxiv: arxiv.org/abs/2412.12040
How Private are Language Models in Abstractive Summarization?
Language models (LMs) have shown outstanding performance in text summarization including sensitive domains such as medicine and law. In these settings, it is important that personally identifying info...
arxiv.org
December 22, 2024 at 9:41 PM
Wrote up my first piece of PhD work last week! 🧵
Summarization via LMs is great at extracting info from documents, but how does summarization look in sensitive settings where privacy-preservation is essential?
Short answer: LMs are poor privacy preservers.
Arxiv: arxiv.org/abs/2412.12040
Summarization via LMs is great at extracting info from documents, but how does summarization look in sensitive settings where privacy-preservation is essential?
Short answer: LMs are poor privacy preservers.
Arxiv: arxiv.org/abs/2412.12040