Distrust between data providers and consumers is one of the main obstacles hampering take-off digital-data commerce. Data want to get paid for what they offer, while know exactly are paying before actually it. In this article, we present a protocol that overcomes obstacle by building trust based on two ideas. First, probabilistic verification protocol, where some random samples real dataset sho...

We study a problem in which firm sets prices for products based on the transaction data, i.e., product past customers chose from an assortment and what were historical that they observed. Our approach does not impose model distribution of customers' valuations only assumes, instead, purchase choices satisfy incentive-compatible constraints. The individual valuation each customer can then be enc...

Recent model-extraction attacks on Machine Learning as a Service (MLaaS) systems have moved towards data-free approaches, showing the feasibility of stealing models trained with difficult-to-access data. However, these are ineffective or limited due to low accuracy extracted and high number queries under attack. The query cost makes such techniques infeasible for online MLaaS that charge per qu...

Concurrent data structures are often used with large concurrent software. An iterator that traverses the data structure items is a highly desirable interface that often exists for sequential data structures but is missing from (almost all) concurrent data-structure implementations. In this paper we introduce a technique for adding a linearizable wait-free iterator to a wait-free or a lock-free ...