Unmasking Transformers: A Theoretical Approach to Data Recovery via Attention Weights

In the realm of deep learning, transformers have emerged as a dominant architecture, particularly in natural language processing tasks. However, with their widespread adoption, concerns regarding the security and privacy of the data processed by these models have arisen. In this paper, we address a...

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Hauptverfasser:	Deng, Yichuan, Song, Zhao, Xie, Shenghao, Yang, Chiwun
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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