Goldreich-Levin hard-core predicate theorem
E1435284
UNEXPLORED
The Goldreich-Levin hard-core predicate theorem is a foundational result in cryptography that shows how to derive a specific bit of information that is provably hard to predict from any one-way function, enabling the construction of pseudorandom generators and other cryptographic primitives.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Goldreich-Levin hard-core predicate theorem canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T20512726 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Goldreich-Levin hard-core predicate theorem Context triple: [Yao’s pseudorandom generator construction, relatedTo, Goldreich-Levin hard-core predicate theorem]
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A.
Håstad’s switching lemma
Håstad’s switching lemma is a fundamental result in computational complexity theory that provides powerful bounds on the simplification of Boolean formulas under random restrictions, with major applications in circuit lower bounds.
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B.
Yao’s next-bit test
Yao’s next-bit test is a foundational cryptographic criterion that characterizes pseudorandomness by requiring that no efficient algorithm can predict the next bit of a sequence significantly better than random guessing, given all previous bits.
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C.
Naor–Reingold pseudorandom function
The Naor–Reingold pseudorandom function is a foundational cryptographic construction that provides a simple, efficient, and provably secure method for generating pseudorandom outputs from secret keys based on number-theoretic assumptions.
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D.
Modern Cryptography, Probabilistic Proofs and Pseudorandomness
"Modern Cryptography, Probabilistic Proofs and Pseudorandomness" is a foundational textbook that systematically develops the theoretical underpinnings of modern cryptography, focusing on probabilistic proof techniques and the theory of pseudorandomness.
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E.
Blum–Micali pseudorandom number generator
The Blum–Micali pseudorandom number generator is a foundational cryptographic algorithm that produces provably secure pseudorandom bits based on number-theoretic hardness assumptions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Goldreich-Levin hard-core predicate theorem Target entity description: The Goldreich-Levin hard-core predicate theorem is a foundational result in cryptography that shows how to derive a specific bit of information that is provably hard to predict from any one-way function, enabling the construction of pseudorandom generators and other cryptographic primitives.
-
A.
Håstad’s switching lemma
Håstad’s switching lemma is a fundamental result in computational complexity theory that provides powerful bounds on the simplification of Boolean formulas under random restrictions, with major applications in circuit lower bounds.
-
B.
Yao’s next-bit test
Yao’s next-bit test is a foundational cryptographic criterion that characterizes pseudorandomness by requiring that no efficient algorithm can predict the next bit of a sequence significantly better than random guessing, given all previous bits.
-
C.
Naor–Reingold pseudorandom function
The Naor–Reingold pseudorandom function is a foundational cryptographic construction that provides a simple, efficient, and provably secure method for generating pseudorandom outputs from secret keys based on number-theoretic assumptions.
-
D.
Modern Cryptography, Probabilistic Proofs and Pseudorandomness
"Modern Cryptography, Probabilistic Proofs and Pseudorandomness" is a foundational textbook that systematically develops the theoretical underpinnings of modern cryptography, focusing on probabilistic proof techniques and the theory of pseudorandomness.
-
E.
Blum–Micali pseudorandom number generator
The Blum–Micali pseudorandom number generator is a foundational cryptographic algorithm that produces provably secure pseudorandom bits based on number-theoretic hardness assumptions.
- F. None of above. chosen
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.