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Generative AI Security: Challenges and Countermeasures

Fuente: arXiv

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Bibliographic Details
Main Authors:	Zhu, Banghua, Mu, Norman, Jiao, Jiantao, Wagner, David
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Artificial Intelligence Computation and Language Computers and Society Machine Learning
Online Access:	Acceder al recurso
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_version_	1866929554670485504
author	Zhu, Banghua Mu, Norman Jiao, Jiantao Wagner, David
author_facet	Zhu, Banghua Mu, Norman Jiao, Jiantao Wagner, David
contents	Generative AI's expanding footprint across numerous industries has led to both excitement and increased scrutiny. This paper delves into the unique security challenges posed by Generative AI, and outlines potential research directions for managing these risks.
format	Preprint
id	arxiv_https___arxiv_org_abs_2402_12617
institution	arXiv
publishDate	2024
record_format	arxiv
spellingShingle	Generative AI Security: Challenges and Countermeasures Zhu, Banghua Mu, Norman Jiao, Jiantao Wagner, David Cryptography and Security Artificial Intelligence Computation and Language Computers and Society Machine Learning Generative AI's expanding footprint across numerous industries has led to both excitement and increased scrutiny. This paper delves into the unique security challenges posed by Generative AI, and outlines potential research directions for managing these risks.
title	Generative AI Security: Challenges and Countermeasures
topic	Cryptography and Security Artificial Intelligence Computation and Language Computers and Society Machine Learning
url	https://arxiv.org/abs/2402.12617