We define a new type of mix network that offers a reduced form of robustness: the mixnet can prove that every message it outputs corresponds to an input submitted by a player without revealing which input (for honest players). We call mixnets with this property reputable mixnets. Reputable mixnets are not fully robust, because they offer no guarantee that distinct outputs correspond to distinct...

We apply blind source separation techniques from statistical signal processing to separate the traffic in a mix network into either individual flows or groups of flows. This separation requires no a priori information about the individual flows. As a result, unlinkability can be compromised without ever observing individual flows. Our experiments show that this attack is effective and scalable....

We introduce a new payment architecture that limits the power of an attacker while providing the honest user with privacy. Our proposed method defends against all known attacks on the bank, implements revocable privacy, and results in an efficient scheme which is well-suited for smartcard-based payment schemes over the Internet.

Abstract The widespread occurrence of nouns in one language with a determiner the other, often referred to as mixed NPs, has generated much theorizing and debate. Since both syntactic account based on abstract features an highlighting notion Matrix yield largely same predictions, we assess how tenets each play out speaker choices. data derive from massive corpus spontaneous nominal mixes, produ...