Random extractors are proven to be important building blocks in constructing leakage resilient cryptographic primitives. Nevertheless, recent efforts showed that they are likely more leaky than other elementary components (e.g. block ciphers) in unprotected implementations of these primitives, in the context of side-channel attacks. In this context, from the adversary’s point of view, the extra...

The giant earthworm, Rhinodrilus alatus (Righi 1971), has been captured in the southeastern Brazilian Cerrado biome for approximately 80 years and used as bait for amateur fishing throughout Brazil. Local knowledge and traditional extraction practices are crucial for the establishment of management strategies for the species because, although its extraction involves conflicts and social and env...

On an input probability distribution with some (min-)entropy an extractor outputs a distribution with a (near) maximum entropy rate (namely the uniform distribution). A natural weakening of this concept is a condenser, whose output distribution has a higher entropy rate than the input distribution (without losing much of the initial entropy). In this paper we construct efficient explicit conden...

We propose a new model of a weakly random source that admits randomness extraction. Our model of additive sources includes such natural sources as uniform distributions on arithmetic progressions (APs), generalized arithmetic progressions (GAPs), and Bohr sets, each of which generalizes affine sources. We give an explicit extractor for additive sources with linear minentropy over both Zp and Z ...

Finding explicit extractors is an important derandomization goal that has received a lot of attention in the past decade. This research has focused on two approaches, one related to hashing and the other to pseudorandom generators. A third view, regarding extractors as good error correcting codes, was noticed before. Yet, researchers had failed to build extractors directly from a good code, wit...

We show that there is a direct relation between the maximum length of the keys extracted from biometric data and the error rates of the biometric system. The length of the bio-key depends on the amount of distinguishing information that can be extracted from the source data. This information can be used a-priori to evaluate the potential of the biometric data in the context of a specific crypto...

Information Extraction (IE) aims to automatically generate a large knowledge base from natural language text, but progress remains slow. Supervised learning requires copious human annotation, while unsupervised and weakly supervised approaches do not deliver competitive accuracy. As a result, most fielded applications of IE, as well as the leading TAC-KBP systems, rely on significant amounts of...