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cs.CR2025
Prmpt: Sanitizing Sensitive Prompts for LLMs
Amrita Roy Chowdhury, David Glukhov, Divyam Anshumaan +4
The rise of large language models (LLMs) has introduced new privacy challenges, particularly during inference where sensitive information in prompts may be exposed to proprietary L…
cs.CR1998★ 1 cited
Security amplification by composition: The case of doubly-iterated, ideal ciphers
William Aiello, Mihir Bellare, Giovanni Di Crescenzo +1
We investigate, in the Shannon model, the security of constructions corresponding to double and (two-key) triple DES. That is, we consider F_{k1}(F_{k2}(.)) and F_{k1}(F_{k2}^{-1}(…