Questions tagged [hash-function]

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Consistent Sampling a Random Walk

Assume there's a random walk $S_k = X_1 + \dots + X_k$ where $X_i \in \{1, -1\}$ are uniformly iid. I want Alice and Bob to share a function $S(k) = S_k$. A straightforward approach would be to let ...
Thomas Ahle's user avatar
5 votes
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Tuning Parameters of Locality Sensitive Hashing

We have given a set of $n$ binary vectors each of dimension $d$, i.e. a binary matrix of $d*n$. Our goal is to group vectors which are almost similar, $\forall v_i, v_j\in\{0,1\}^d$, we say $v_i$ ...
Ram's user avatar
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Ergodic Theory and Hash Functions

I was thinking about the old question regarding the existence of fixed points in hash functions (for instance, if we restrict the domain of MD5 to $S = \{0, 1\}^{128}$, making it a mapping $S \to S$, ...
Charles Fu's user avatar
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How many bits are required to sample an almost pairwise independent hash function?

A family of functions $\mathcal{H} = \{ h\colon \{0,1\}^n \to \{0,1\}^m \}$ is said to be $\varepsilon$-almost pairwise independent if, for every distinct $x_1,x_2 \in \{0,1\}^n$ and (not necessarily ...
user65356's user avatar
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What degree of hash function independence is needed for Bloom filters?

In the traditional analysis of Bloom filters, it's assumed that the hash functions are truly random functions, meaning that each hash function distributes each key uniformly and independently of each ...
templatetypedef's user avatar
3 votes
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Inverse of leftover hash lemma

Leftover hash lemma: Let $X$ be a random variable over $X \in {\mathcal {X}}$ and let $m>0$. Let $h: {\mathcal S} \times {\mathcal X} \rightarrow \{0,1\}^m$ be a 2-universal hash function. If $m \...
delete000's user avatar
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one-way functions vs. secret-coin CRHFs

Is there any paper which can be used to show that there can be no relativizing construction of a secret-coin Collision-Resistant Hash Family from a one-way function and unlike this paper, does not ...
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2 votes
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Locality Sensitive Hashing - meaning of a block

I'm reading one of the early LSH papers and I'm a little confused by the meaning of a "block". In particular, in the proof of theorem 1 in section 3.2 (p 522), what are the blocks being pointed to? ...
David's user avatar
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Sampling from a family of hash functions, not uniformly at random?

Many algorithms and data structures assume access to a family of hash functions satisfying some nice property (say, $k$-independence or $k$-universality). In these cases, we usually assume that we ...
templatetypedef's user avatar
1 vote
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Can a hash preimage be used to amplify BPP probabilities?

Suppose we are given a (univariate) polynomial $P$ of degree $d$, and we wish to determine if $P$ is identically $0$. A standard way to do this is to use a classical PRG to randomly sample a number $...
Mark S's user avatar
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LSH Probabilistic guarantees

A family $H$ is $(r,cr,p_1,p_2)$-sensitive if for all $x,y \in \mathbb{R}^d$ we have: $\lVert x-y\rVert <r\quad \Rightarrow\quad \Pr[h(x)=h(y)] \geq p_1$, and $\lVert x-y\rVert > cr \quad \...
John B's user avatar
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Why do k min-hashes, instead of one hash where we find the k minimum elements?

Traditionally if one wants to sketch streams for Jaccard similarity hashing, one finds the minimum element in each of $k$ permutation for comparison purposes, and then takes number_of_collisions / $k$ ...
Amir's user avatar
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Entropy criterion of efficiency for (comparison using hashing)

I understand that hash is effective iff the "domain" size is smaller than the size of the "general set" - set of all possible objects. E.g., "domain" is the set of valid english phrases with length ...
mclaudt's user avatar
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2 answers
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Combining different length epsilon-ADU hash function families

For context, an $\epsilon$-almost delta universal ($\epsilon$-ADU) hash function family $\mathcal{H} = \{h : M \to D\}$ hashes inputs from $M$ to digests in $D$ such that for any distinct $m, m' \in M$...
orlp's user avatar
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Reference Request : Accessible reference for Randomised algorithms and Hashing for non-Computer Scientists?

My goal is to understand well a paper like ApproxMC. It discusses the use of Hash functions for Propositional Model Counting. In my understanding what they call hash functions are just random XOR's ...
SagarM's user avatar
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"Fair" hash functions

Motivation. When I use a hash function, I would like my pre-images (original values) to a given output (hash) to be evenly distributed as it could be that an uneven distribution could make guessing / ...
Dominic van der Zypen's user avatar
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count number of i such that ( (a*i+b) mod p) mod k == l

How to determine the number of $i$'s as fast as possible such that $$1\le i \le L$ and $((ai+b)\mod p) \mod k = l$$ where $p$ is a prime number, $1\lt a, b\lt p-1$, and $l \lt k \lt L \lt p$. This ...
redplum's user avatar
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