In Section 3, better lower bounds on Bit(n; t) are derived using a relation we establish between the linear extraction problem and the theory of linear error ...
Abstract: We consider the following adversarial situation. Let n, m and t be arbitrary integers, and let f : {0, 1}n → {0, 1}m be a function.
Missing: (Preliminary Version)
Mar 23, 2023 · Bibliographic details on The Bit Extraction Problem of t-Resilient Functions (Preliminary Version)
The Bit Extraction Problem or t-Resilient Functions. (I)relirninary Version) ... respect to T. The Bit Extraction Problem: Let nand t be integers. What is ...
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Ad-hoc macro definitions were used instead. THE BIT EXTRACTION PROBLEM OR t–RESILIENT FUNCTIONS. (Preliminary Version). Benny Chor Oded Goldreich Johan Hastad.
The question addressed is for what values of n, m and t does the adversary necessarily fail in biasing the outcome of f :{0,1}n → {0, 1}m, ...
Missing: (Preliminary Version)
Our results have applications in the fields of faulttolerance and cryptography. Read more. The Bit Extraction Problem of t-Resilient Functions (Preliminary ...
The bit extraction problem of t-resilient functions. (preliminary version). In 26th Annual Symposium on Foundations of Computer. Science, Portland, Oregon ...
Mar 21, 2010 · Randomness extractors are functions that extract almost-uniform bits ... The bit extraction problem or t- resilient functions (preliminary version) ...
The bit extraction problem is equivalent to our coloring problem since constructing an f as above gives a (2s; n, k) coloring with k = n − t, and vice versa ( ...
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