Computational Complexity Characterization of Protecting Elections from Bribery

Lin Chen, Ahmed Sunny, Lei Xu, Shouhuai Xu, Zhimin Gao, Yang Lu, Weidong Shi, Nolan Shah

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Original language	English
Title of host publication	Computational Complexity Characterization of Protecting Elections from Bribery
Publisher	Springer International Publishing
Pages	85-97
ISBN (Print)	9783030581497
DOIs	https://doi.org/10.1007/978-3-030-58150-3_7
State	Published - 2020

Access to Document

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title = "Computational Complexity Characterization of Protecting Elections from Bribery",

author = "Lin Chen and Ahmed Sunny and Lei Xu and Shouhuai Xu and Zhimin Gao and Yang Lu and Weidong Shi and Nolan Shah",

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language = "English",

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Computational Complexity Characterization of Protecting Elections from Bribery. Springer International Publishing, 2020. p. 85-97.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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T1 - Computational Complexity Characterization of Protecting Elections from Bribery

AU - Chen, Lin

AU - Sunny, Ahmed

AU - Xu, Lei

AU - Xu, Shouhuai

AU - Gao, Zhimin

AU - Lu, Yang

AU - Shi, Weidong

AU - Shah, Nolan

PY - 2020

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M3 - Chapter

SN - 9783030581497

SP - 85

EP - 97

BT - Computational Complexity Characterization of Protecting Elections from Bribery

PB - Springer International Publishing

ER -