Transformers: A Security Perspective

Transformers: A Security Perspective

The Transformers architecture has recently emerged as a revolutionary paradigm in the field of deep learning, particularly excelling in Natural Language Processing (NLP) and Computer Vision (CV) applications. Despite its success, the security implications of Transformers have not been comprehensivel...

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Main Authors: Banafsheh Saber Latibari, Najmeh Nazari, Muhtasim Alam Chowdhury, Kevin Immanuel Gubbi, Chongzhou Fang, Sujan Ghimire, Elahe Hosseini, Hossein Sayadi, Houman Homayoun, Soheil Salehi, Avesta Sasan
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Deep learning security
hardware security
NLP
transformers
vision
Online Access:https://ieeexplore.ieee.org/document/10771766/
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