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Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based Optimizers

Fuente: arXiv
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Bibliographic Details
Main Authors: Zhao, Andrew, Ghosh, Reshmi, Carvalho, Vitor, Lawton, Emily, Hines, Keegan, Huang, Gao, Stokes, Jack W.
Format: Preprint
Published: 2025
Subjects:
Machine Learning
Artificial Intelligence
Computation and Language
Cryptography and Security
Online Access:
Acceder al recurso
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