Hash function

Results: 1800



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1Time-memory Trade-offs for Near-collisions Ga¨etan Leurent UCL Crypto Group   Abstract. In this work we consider generic algorithms to find nearcollisions for a hash function. If we consider o

Time-memory Trade-offs for Near-collisions Ga¨etan Leurent UCL Crypto Group Abstract. In this work we consider generic algorithms to find nearcollisions for a hash function. If we consider o

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Source URL: who.rocq.inria.fr

Language: English - Date: 2018-06-14 07:12:40
2The Usage of Counter Revisited: Second-Preimage Attack on New Russian Standardized Hash Function Jian Guo1 , J´er´emy Jean1 , Ga¨etan Leurent2 , Thomas Peyrin1 , and Lei Wang1 1

The Usage of Counter Revisited: Second-Preimage Attack on New Russian Standardized Hash Function Jian Guo1 , J´er´emy Jean1 , Ga¨etan Leurent2 , Thomas Peyrin1 , and Lei Wang1 1

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Source URL: who.rocq.inria.fr

Language: English - Date: 2018-06-14 07:12:34
3The Skein Hash Function Family Version 1.3 — 1 Oct 2010 Niels Ferguson Stefan Lucks Bruce Schneier

The Skein Hash Function Family Version 1.3 — 1 Oct 2010 Niels Ferguson Stefan Lucks Bruce Schneier

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Source URL: www.schneier.com

- Date: 2015-12-10 18:36:29
    4On the design and cryptanalysis of a one-way hash Carl Ellison Victor Miller Eran Tromer Rebecca Wright In this paper we describe a novel one-way hash function that is compliant with the NIST hash function competition dr

    On the design and cryptanalysis of a one-way hash Carl Ellison Victor Miller Eran Tromer Rebecca Wright In this paper we describe a novel one-way hash function that is compliant with the NIST hash function competition dr

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    Source URL: www.anagram.com

    - Date: 2010-11-11 14:43:00
      5Appears in Fast Software Encryption(FSE 2004), Lecture Notes in Computer Science, Vol. ????, Springer-Verlag. This is the full version. Cryptographic Hash-Function Basics: Definitions, Implications, and Separations for P

      Appears in Fast Software Encryption(FSE 2004), Lecture Notes in Computer Science, Vol. ????, Springer-Verlag. This is the full version. Cryptographic Hash-Function Basics: Definitions, Implications, and Separations for P

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      Source URL: web.cs.ucdavis.edu

      - Date: 2004-02-12 14:18:41
        6Collective Error Detection for MPI Collective Operations? Chris Falzone University of Pennsylvania at Edinboro Edinboro, PennsylvaniaAnthony Chan, Ewing Lusk, and William Gropp

        Collective Error Detection for MPI Collective Operations? Chris Falzone University of Pennsylvania at Edinboro Edinboro, PennsylvaniaAnthony Chan, Ewing Lusk, and William Gropp

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        Source URL: wgropp.cs.illinois.edu

        Language: English - Date: 2016-08-16 11:52:12
        7Why   Learn   About   Data   Structures?   (1/2) Why   Learn   About   Data   Structures?   (2/2) • They  are  c entral  to  CS16:    Algorithms  and  Data  Structures

        Why   Learn   About   Data   Structures?   (1/2) Why   Learn   About   Data   Structures?   (2/2) • They  are  c entral  to  CS16:    Algorithms  and  Data  Structures

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        Source URL: cs.brown.edu

        Language: English - Date: 2015-11-12 14:10:30
        8JOURNAL OF COMMUNICATIONS AND NETWORKS, VOL. 13, NO. 2, APRILSplitScreen: Enabling Efficient, Distributed Malware Detection

        JOURNAL OF COMMUNICATIONS AND NETWORKS, VOL. 13, NO. 2, APRILSplitScreen: Enabling Efficient, Distributed Malware Detection

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        Source URL: users.ece.cmu.edu

        Language: English - Date: 2014-05-29 15:38:01
        9POIsketch: Semantic Place Labeling over User Activity Streams 1 Dingqi Yang1 , Bin Li2 , Philippe Cudr´e-Mauroux1 eXascale Infolab, University of Fribourg, 1700 Fribourg, Switzerland 2

        POIsketch: Semantic Place Labeling over User Activity Streams 1 Dingqi Yang1 , Bin Li2 , Philippe Cudr´e-Mauroux1 eXascale Infolab, University of Fribourg, 1700 Fribourg, Switzerland 2

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        Source URL: exascale.info

        Language: English - Date: 2016-08-17 10:09:29