Download Attribute Grammars and their Applications: International by Donald E. Knuth (auth.), P. Deransart, M. Jourdan (eds.) PDF

By Donald E. Knuth (auth.), P. Deransart, M. Jourdan (eds.)

Attribute grammars have been brought over 20 years in the past, yet they're nonetheless no longer as regularly occurring as might have been was hoping first and foremost. this can be rather so in undefined, regardless of their features as a specification device. the purpose of this foreign Workshop on characteristic Grammars and their functions (WAGA), the 1st to be solely dedicated to this subject, used to be to teach that they're nonetheless the topic of energetic study and now bring about very important, necessary and functional purposes in a variety of components. The workshop coated all features of characteristic grammars, with an emphasis on functional effects. This quantity contains the textual content of the 3 invited talks and 21 submitted papers offered on the workshop. this option presents a large view of the various examine being performed within the sector. subject matters contain: - Fundamentals: effective exhaustive and incremental at- tribute review equipment, parallel overview, area optimization, relationships with sensible, good judgment and object-oriented programming, and structures. - Applications: compiler building, usual language processing, and interactive application manipulation.

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Extra resources for Attribute Grammars and their Applications: International Conference WAGA Paris, France, September 19–21, 1990 Proceedings

Example text

We first recall the two required primitives, hash functions and randomness extractors. Both algorithms will be randomized in the sense that they get an auxiliary random input and compute the output from the input and this random string, and the random string becomes part of the output (public randomness). Hash Functions and Extractors. A (probabilistic) hash function H = (HKGen, H) consists of efficient algorithms such that HKGen on input 1n returns a key K and H on input a key K and a string x ∈ {0, 1}i(n) picks a random string r ← {0, 1}t(n) and outputs an image y ← H(K, x; r) (to which one appends the randomness r).

Here we merely require that the extractor is pseudorandom; the original signature scheme and the hash function only need to be efficient. This fact also shows anonymity against full key exposure. Proof. Fix an arbitrary attacker D against the (basic) anonymity property and some distribution M. We need to show that the outputs of the random variables Expanon,b S ,M,D (n) for b = 0, 1 are indistinguishable. In the sequel we also fix the bit b. In experiment Expanon,b S ,M,D (n) we now change the way the challenge signature for m ← M(pkb ) is computed as follows.

First, we check if GCD(u, n) = 1. If it’s not, then we have one of the factors of n, and can easily calculate a solution to the flexible RSA problem. Therefore, in the following we assume that GCD(u, n) = 1, so u ∈ Zn∗ . 2. We pick random prime numbers s1 , s2 , . . sk (mod n). Note that since the si values are primes strictly less than either p or q , it must be the case that GCD(r, |QRn |) = 1, so Property 2 says that g is a generator of QRn if and only u is a generator of QRn . 3. sk (mod n) ..

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