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pro vyhledávání: '"Walha, Nassim"'
Autor:
Frikha, Ahmed, Walha, Nassim, Mendes, Ricardo, Nakka, Krishna Kanth, Jiang, Xue, Zhou, Xuebing
This work addresses the timely yet underexplored problem of performing inference and finetuning of a proprietary LLM owned by a model provider entity on the confidential/private data of another data owner entity, in a way that ensures the confidentia
Externí odkaz:
http://arxiv.org/abs/2407.02960
Autor:
Frikha, Ahmed, Walha, Nassim, Nakka, Krishna Kanth, Mendes, Ricardo, Jiang, Xue, Zhou, Xuebing
In this work, we address the problem of text anonymization where the goal is to prevent adversaries from correctly inferring private attributes of the author, while keeping the text utility, i.e., meaning and semantics. We propose IncogniText, a tech
Externí odkaz:
http://arxiv.org/abs/2407.02956