We revisit computationally relaxed locally decodable codes (crLDCs) (Blo...
The data management of large companies often prioritize more recent data...
We develop a framework for efficiently transforming certain approximatio...
Locally Decodable Codes (LDCs) are error-correcting codes
C:Σ^n→Σ^m with...
In the past decade, billions of user passwords have been exposed to the
...
Proper communication is key to the adoption and implementation of
differ...
We initiate a systematic study of algorithms that are both differentiall...
Clustering is an essential primitive in unsupervised machine learning. W...
Locally Decodable Codes (LDCs) are error-correcting codes for which
indi...
The classical (parallel) black pebbling game is a useful abstraction whi...
A directed acyclic graph G=(V,E) is said to be (e,d)-depth robust if for...
In this paper we consider the following problem: given N independent
sam...
We construct locally decodable codes (LDCs) to correct insertion-deletio...
An attacker who breaks into an authentication server and steals all of t...
Recent efforts in coding theory have focused on building codes for inser...
We introduce password strength information signaling as a novel, yet
cou...
Cryptographic techniques have the potential to enable distrusting partie...
A proof of sequential work allows a prover to convince a resource-bounde...
We develop an economic model of an offline password cracker which allows...
Large-scale online password guessing attacks are wide-spread and continu...
It has been established that quantum algorithms can solve several key
cr...
We examine the issue of password length leakage via encrypted traffic i....
Memory hard functions (MHFs) are an important cryptographic primitive th...
We create a graph reduction that transforms an (e, d)-edge-depth-robust
...
Constructions of locally decodable codes (LDCs) have one of two undesira...
The cumulative pebbling complexity of a directed acyclic graph G is defi...
Error-correcting codes that admit local decoding and correcting algorith...