We put forward new benchmarks and solution concepts for Adversarial Mechanism Design, as defined by [MV07.a], and we exemplify them in the case of truly combinatorial auctions.We benchmark the combined performance (the sum of the auction's effciency and revenue)of a truly combinatorial auction...

We study mechanism design in non-Bayesian settings of incomplete information, when the designer has no information about the players, and the players have arbitrary, heterogeneous, first-order, and possibilistic beliefs about their opponents' payoff types.

Shimoji and Watson (1998) prove that a strategy of an extensive game is rationalizable in the sense of Pearce if and only if it survives the maximal elimination of conditionally dominated strategies. Briefly, this process iteratively eliminates conditionally dominated strategies according to a...

We show that collusion and wrong beliefs may cause a dramatic efficiency loss in the Vickrey mechanism for auctioning a single good in limited supply. We thus put forward a new mechanism guaranteeing efficiency in a very adversarial collusion model, where the players can partition themselves...

Shimoji and Watson (1998) prove that a strategy of an extensive game is rationalizable in the sense of Pearce if and only if it survives the maximal elimination of conditionally dominated strategies. Briefly, this process iteratively eliminates conditionally dominated strategies according to a...

Because of its devastating effects in auctions and other mechanisms, collusion is prohibited andlegally prosecuted. Yet, colluders have always existed, and may continue to exist. We thus raise the followingquestion for mechanism design:What desiderata are achievable, and by what type of...

In unrestricted combinatorial auctions, we put forward a mechanism that guarantees a meaningful revenue benchmark based on the possibilistic beliefs that the players have about each other's valuations. In essence, the mechanism guarantees, within a factor of two, the maximum revenue that the...