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Roger Baumgartner

dblp:325/3354 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

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 primitives and cryptanalysis · 46% Blockchain and cryptocurrency security · 30% Cryptographic protocols and secure computation · 23%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cryptographic primitives and cryptanalysis › homomorphic encryption
additive homomorphic encryption
0.612022
ZeeStar: Private Smart Contracts by Homomorphic Encryption and Zero-knowledge Proofs · SP 2022
Cryptographic primitives and cryptanalysis
homomorphic encryption
0.612022
ZeeStar: Private Smart Contracts by Homomorphic Encryption and Zero-knowledge Proofs · SP 2022
Blockchain and cryptocurrency security › smart contract
private smart contracts
0.612022
ZeeStar: Private Smart Contracts by Homomorphic Encryption and Zero-knowledge Proofs · SP 2022
Cryptographic protocols and secure computation › proof systems
zero-knowledge proofs
0.612022
ZeeStar: Private Smart Contracts by Homomorphic Encryption and Zero-knowledge Proofs · SP 2022
Blockchain and cryptocurrency security › smart contract
privacy-preserving smart contracts
0.212022
ZeeStar: Private Smart Contracts by Homomorphic Encryption and Zero-knowledge Proofs · SP 2022

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

non-interactive zero-knowledge proof · 0.6additively homomorphic encryption · 0.6
YearPublicationVenuePosition
2022 ZeeStar: Private Smart Contracts by Homomorphic Encryption and Zero-knowledge Proofs
abstract
Data privacy is a key concern for smart contracts handling sensitive data. The existing work zkay addresses this concern by allowing developers without cryptographic expertise to enforce data privacy. However, while zkay avoids fundamental limitations of other private smart contract systems, it cannot express key applications that involve operations on foreign data.We present ZeeStar, a language and compiler allowing non-experts to instantiate private smart contracts and supporting operations on foreign data. The ZeeStar language allows developers to ergonomically specify privacy constraints using zkay’s privacy annotations. The ZeeStar compiler then provably realizes these constraints by combining non-interactive zero-knowledge proofs and additively homomorphic encryption.We implemented ZeeStar for the public blockchain Ethereum. We demonstrated its expressiveness by encoding 12 example contracts, including oblivious transfer and a private payment system like Zether. ZeeStar is practical: it prepares transactions for our contracts in at most 54.7s, at an average cost of 339k gas.
Samuel Steffen, Benjamin Bichsel, Roger Baumgartner, Martin T. Vechev
SP3