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Electronic Colloquium on Computational Complexity
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REPORTS > AUTHORS > RAFAIL OSTROVSKY:
All reports by Author Rafail Ostrovsky:

TR09-127 | 25th November 2009
Brett Hemenway, Rafail Ostrovsky

Lossy Trapdoor Functions from Smooth Homomorphic Hash Proof Systems

In STOC '08, Peikert and Waters introduced a powerful new primitive called Lossy Trapdoor Functions (LTDFs). Since their introduction, lossy trapdoor functions have found many uses in cryptography. In the work of Peikert and Waters, lossy trapdoor functions were used to give an efficient construction of a chosen-ciphertext secure (IND-CCA2) ... more >>>

TR09-108 | 31st October 2009
Chongwon Cho, Chen-Kuei Lee, Rafail Ostrovsky

Equivalence of Uniform Key Agreement and Composition Insecurity

It is well known that proving the security of a key agreement protocol (even in a special case where the protocol transcript looks random to an outside observer) is at least as difficult as proving $P \not = NP$. Another (seemingly unrelated) statement in cryptography is the existence of two ... more >>>

TR07-022 | 20th February 2007
Rafail Ostrovsky, William Skeith

Algebraic Lower Bounds for Computing on Encrypted Data

In cryptography, there has been tremendous success in building primitives out of homomorphic semantically-secure encryption schemes, using homomorphic properties in a black-box way. A few notable examples of such primitives include items like private information retrieval schemes and collision-resistant hash functions. In this paper, we illustrate a general methodology for ... more >>>

TR07-021 | 5th March 2007
Brett Hemenway, Rafail Ostrovsky

Public Key Encryption Which is Simultaneously a Locally-Decodable Error-Correcting Code

Revisions: 3
In this paper, we introduce the notion of a Public-Key Encryption (PKE) Scheme that is also a Locally-Decodable Error-Correcting Code. In particular, our construction simultaneously satisfies all of the following properties: \begin{itemize} \item Our Public-Key Encryption is semantically secure under a certain number-theoretic hardness assumption (a specific variant of the ... more >>>

TR06-110 | 15th August 2006
Nishanth Chandran, Ryan Moriarty, Rafail Ostrovsky, Omkant Pandey, Amit Sahai

Improved Algorithms for Optimal Embeddings

In the last decade, the notion of metric embeddings with small distortion received wide attention in the literature, with applications in combinatorial optimization, discrete mathematics, functional analysis and bio-informatics. The notion of embedding is, given two metric spaces on the same number of points, to find a bijection that minimizes ... more >>>

TR06-095 | 25th July 2006
Rafail Ostrovsky, Giuseppe Persiano, Ivan Visconti

Concurrent Non-Malleable Witness Indistinguishability and its Applications

Revisions: 1
One of the central questions in Cryptography today is proving security of the protocols ``on the Internet'', i.e., in a concurrent setting where there are multiple interactions between players, and where the adversary can play so called ``man-in-the-middle'' attacks, forwarding and modifying messages between two or more unsuspecting players. Indeed, ... more >>>

TR05-097 | 31st August 2005
Jens Groth, Rafail Ostrovsky, Amit Sahai

Perfect Non-Interactive Zero Knowledge for NP

Non-interactive zero-knowledge (NIZK) systems are fundamental cryptographic primitives used in many constructions, including CCA2-secure cryptosystems, digital signatures, and various cryptographic protocols. What makes them especially attractive, is that they work equally well in a concurrent setting, which is notoriously hard for interactive zero-knowledge protocols. However, while for interactive zero-knowledge we ... more >>>

TR94-007 | 12th December 1994
Oded Goldreich, Rafail Ostrovsky, Erez Petrank

Computational Complexity and Knowledge Complexity

We study the computational complexity of languages which have interactive proofs of logarithmic knowledge complexity. We show that all such languages can be recognized in ${\cal BPP}^{\cal NP}$. Prior to this work, for languages with greater-than-zero knowledge complexity (and specifically, even for knowledge complexity 1) only trivial computational complexity bounds ... more >>>



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