  The paper studies how to release data about a critical infrastructure network
(e.g., the power network or a transportation network) without disclosing
sensitive information that can be exploited by malevolent agents, while
preserving the realism of the network. It proposes a novel obfuscation
mechanism that combines several privacy-preserving building blocks with a
bi-level optimization model to significantly improve accuracy. The obfuscation
is evaluated for both realism and privacy properties on real energy and
transportation networks. Experimental results show the obfuscation mechanism
substantially reduces the potential damage of an attack exploiting the released
data to harm the real network.
