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Shubh Prakash

dblp:379/1680 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
0009-0008-8180-8402ORCID · reported

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

Security and privacy · 2 · 2 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 primitives and cryptanalysis · 61% Cryptographic protocols and secure computation · 39%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cryptographic primitives and cryptanalysis › public-key cryptography
cryptographic accumulators
0.812024
Batching-Efficient RAM using Updatable Lookup Arguments · CCS 2024
Cryptographic primitives and cryptanalysis › public-key cryptography › cryptographic accumulators
RSA accumulator
0.812024
Batching-Efficient RAM using Updatable Lookup Arguments · CCS 2024
Cryptographic protocols and secure computation
verifiable computation
0.812024
Batching-Efficient RAM using Updatable Lookup Arguments · CCS 2024
Cryptographic protocols and secure computation › proof systems
lookup arguments
0.212024
Batching-Efficient RAM using Updatable Lookup Arguments · CCS 2024

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

updatable lookup arguments · 0.8merkle tree · 0.8cryptographic accumulator · 0.8
YearPublicationVenuePosition
2026 GAPP: Generic Aggregation of Polynomial IOPs
Chaya Ganesh, Sikhar Patranabis, Shubh Prakash
CRYPTO (9)3
2024 Batching-Efficient RAM using Updatable Lookup Arguments
abstract
RAM (random access memory) is an important primitive in verifiable computation. In this paper, we focus on realizing RAM with efficient batching property, i.e, proving a batch of m updates on a RAM of size N while incurring a cost that is sublinear in N. Classical approaches based on Merkle-trees or address ordered transcripts to model RAM correctness are either concretely inefficient, or incur linear overhead in the size of the RAM. Recent works explore cryptographic accumulators based on unknown-order groups (RSA, class-groups) to model the RAM state. While recent RSA accumulator based approaches offer significant improvement over classical methods, they incur linear overhead in the size of the accumulated set to compute witnesses, as well as prohibitive constant overheads.
Moumita Dutta, Chaya Ganesh, Sikhar Patranabis, Shubh Prakash
CCS4