Sciweavers

ASIACRYPT
2007
Springer
13 years 10 months ago
Cryptanalysis of Grindahl
Due to recent breakthroughs in hash functions cryptanalysis, some new hash schemes have been proposed. GRINDAHL is a novel hash function, designed by Knudsen, Rechberger and Thomse...
Thomas Peyrin
ICIP
2008
IEEE
13 years 10 months ago
On the security of non-forgeable robust hash functions
In many applications, it is often desirable to extract a consistent key from a multimedia object (e.g., an image), even when the object has gone through a noisy channel. For examp...
Qiming Li, Sujoy Roy
ISW
2009
Springer
13 years 11 months ago
Structural Attacks on Two SHA-3 Candidates: Blender-n and DCH-n
The recently started SHA-3 competition in order to find a new secure hash standard and thus a replacement for SHA-1/SHA-2 has attracted a lot of interest in the academic world as ...
Mario Lamberger, Florian Mendel
ASIACRYPT
2009
Springer
13 years 11 months ago
Linearization Framework for Collision Attacks: Application to CubeHash and MD6
In this paper, an improved differential cryptanalysis framework for finding collisions in hash functions is provided. Its principle is based on linearization of compression functi...
Eric Brier, Shahram Khazaei, Willi Meier, Thomas P...
ASIACRYPT
2009
Springer
13 years 11 months ago
Foundations of Non-malleable Hash and One-Way Functions
Non-malleability is an interesting and useful property which ensures that a cryptographic protocol preserves the independence of the underlying values: given for example an encryp...
Alexandra Boldyreva, David Cash, Marc Fischlin, Bo...
STOC
2003
ACM
178views Algorithms» more  STOC 2003»
14 years 4 months ago
Uniform hashing in constant time and linear space
Many algorithms and data structures employing hashing have been analyzed under the uniform hashing assumption, i.e., the assumption that hash functions behave like truly random fu...
Anna Östlin, Rasmus Pagh
ICCV
2003
IEEE
14 years 6 months ago
Fast Pose Estimation with Parameter-Sensitive Hashing
Example-based methods are effective for parameter estimation problems when the underlying system is simple or the dimensionality of the input is low. For complex and high-dimensio...
Gregory Shakhnarovich, Paul A. Viola, Trevor Darre...