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Here we identify a type of privacy concern in Distributed ConstraintOptimization (DCOPs) not previously addressed in literature, despite itsimportance and impact on the application field: the privacy of existence ofsecrets. Science only starts where metrics and assumptions are clearly defined.The area of Distributed Constraint Optimization has emerged at the intersectionof the multi-agent system community and constraint programming. For themulti-agent community, the constraint optimization problems are an elegant wayto express many of the problems occurring in trading and distributed robotics.For the theoretical constraint programming community the DCOPs are a naturalextension of their main object of study, the constraint satisfaction problem.As such, the understanding of the DCOP framework has been refined with theneeds of the two communities, but sometimes without spelling the newassumptions formally and therefore making it difficult to compare techniques.Here we give a direction to the efforts for structuring concepts in this area.

Privacy of Existence of Secrets: Introducing Steganographic DCOPs and Revisiting DCOP Frameworks