State-Based Differential Privacy Verification and Enforcement for Probabilistic Automata

Roughly speaking, differential privacy is a privacy-preserving strategy that guarantees attackers to be unlikely to infer, from the previous system output, the dataset from which an output is derived. This work introduces differential privacy to discrete event systems modeled by probabilistic automa...

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Bibliographic Details
Main Authors: Yuanxiu Teng, Zhiwu Li, Li Yin, Naiqi Wu
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/8/1853