April 29, 2023, 1:01 a.m. | El-Mhamedi via Prashanth Mundkur

The RISKS Digest catless.ncl.ac.uk

https://arxiv.org/abs/2209.15
SoK: On the Impossible Security of Very Large Foundation Models
El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta,
L=C3=AA-Nguy=C3=AAn Hoang, Rafael Pinot, John Stephan

Large machine learning models, or so-called foundation models, aim to serve
as base-models for application-oriented machine learning. Although these
models showcase impressive performance, they have been empirically found to
pose serious security and privacy issues. We may however wonder if this is
a limitation of the current models, or if these issues stem from a …

aim application base called current foundation foundation models john knowledge large machine machine learning machine learning models mahdi may performance privacy problem security serious stem

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