Manipulation under voting rule uncertainty

An important research topic in the field of computational social choice is the complexity of various forms of dishonest behavior, such as manipulation, control, and bribery. While much of the work on this topic assumes that the cheating party has full information about the election, recently there have been a number of attempts to gauge the complexity of non-truthful behavior under uncertainty about the voters' preferences. In this paper, we analyze the complexity of (coalitional) manipulation for the setting where there is uncertainty about the voting rule: the manipulator(s) know that the election will be conducted using a voting rule from a given list, and need to select their votes so as to succeed no matter which voting rule will eventually be chosen. We identify a large class of voting rules such that arbitrary combinations of rules from this class are easy to manipulate; in particular, we show that this is the case for single-voter manipulation and essentially all easy-to-manipulate voting rules, and for coalitional manipulation and k-approval. While a combination of a hard-to-manipulate rule with an easy-to-manipulate one is usually hard to manipulate - we prove this in the context of coalitional manipulation for several combinations of prominent voting rules - we also provide counterexamples showing that this is not always the case.