Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Eliran Eiluz

dblp:416/1517 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0000-2403-7244ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Cryptographic protocols and secure computation · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Memory systems · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cryptographic protocols and secure computation › oblivious data structures
oblivious RAM
0.912025
MegaBlocks: Breaking the Logarithmic I/O-Overhead Barrier for Oblivious RAM · CCS 2025
Memory systems
access pattern hiding
0.312025
MegaBlocks: Breaking the Logarithmic I/O-Overhead Barrier for Oblivious RAM · CCS 2025
Memory systems › secure memory
secure memory access
0.312025
MegaBlocks: Breaking the Logarithmic I/O-Overhead Barrier for Oblivious RAM · CCS 2025

Methods — techniques the papers use, named apart from their topics

hierarchical ORAM construction · 1.7client-side memory optimization · 1.7
YearPublicationVenuePosition
2025 MegaBlocks: Breaking the Logarithmic I/O-Overhead Barrier for Oblivious RAM
abstract
Oblivious RAM (ORAM) is a central cryptographic primitive that enables secure memory access while hiding access patterns. Among existing ORAM paradigms, hierarchical ORAMs were long considered impractical despite their asymptotic optimality. However, recent advancements (FutORAMa, CCS'23) demonstrate that hierarchical ORAM-based schemes can be made efficient given sufficient client-side memory. In this work, we present a new hierarchical ORAM construction that achieves practical performance without requiring large local memory.
Gilad Asharov, Eliran Eiluz, Ilan Komargodski, Wei-Kai Lin
CCS2