Titlebook: Vorlesungen zur Komplexit?tstheorie; Gerd Wechsung Textbook 2000 B. G.Teubner GmbH, Stuttgart/Leipzig/Wiesbaden 2000 Funktionenklassen.Hie

Mendacious

Gerd Wechsunglities they may find in their systems and the best ways to detect them. We validate our proposed vulnerability categories by analysing a further 6?months of ICS Advisory reports, which shows that our categories continue to dominate the reported weaknesses. We further validate our proposed detection

handle

Gerd Wechsungor verifying the correctness of query results while preserving data privacy. Our approach handles multi-dimensional range queries. We present both theoretical analysis and experimental results to demonstrate that our approach is time and space efficient.

cuticle

Gerd Wechsungakage of sensitive information regarding the computational task and its results. In this paper, we introduce the new verifiable-computation protocol RIVER, which reduces the computational costs of the verifier and of the prover, comparing to the most recent alternative protocols, and (for the first

胡言亂語

山羊

Gerd Wechsungrity. In particular, applications, opportunities and possible shortcomings of novel security technologies and their integration in emerging application domains.978-3-030-66503-6978-3-030-66504-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

話

subset . of at most . vertices such that . is in .. In this paper, we . of this classical problem, namely . .-.-.-., and study these problems from the viewpoint of classical and parameterized complexity. In the .-.-. problem, given two graphs . and . on the same vertex set and a positive integer .,

sphincter

Gerd Wechsungotes the cumulative size for periods ., and a list of . items. Each item is a triple (.,?.,?.) where . denotes the reward or value of the item, . its size, and . denotes its time index (or, deadline). The goal is to choose, for each deadline ., which items to include to maximize the total reward, su

賄賂

FLIC

Gerd Wechsunghis method so the users can profit by accessing more content or privileged items. In these pages, users are typically requested to provide their names, email addresses, phone numbers and other personal information in order to create an account. As the purpose of the tracking ecosystem is to collect

Arthr-

Gerd Wechsungting machine-generated fake reviews hiding among real restaurant reviews. The method used in this work (.) has one drawback: it has difficulties staying in ., i.e. when it generates a review for specific target entity, the resulting review may contain phrases that are unrelated to the target, thus i