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Demo Data from SIGIR 2026 / reviewers in the wild / expert

Hila Dahari-Garbian

dblp:416/1215 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2026
0009-0002-0122-552XORCID · corroborated

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

Security and privacy · 2 · 1 first-author · 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 · 77% Cryptographic protocols and secure computation · 23%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cryptographic primitives and cryptanalysis › public-key cryptography › digital signatures
distributed signatures		 0.912025
Trout: Two-Round Threshold ECDSA from Class Groups · CCS 2025
Cryptographic protocols and secure computation › secure multiparty computation › active security
identifiable abort		 0.912025
Trout: Two-Round Threshold ECDSA from Class Groups · CCS 2025
Cryptographic primitives and cryptanalysis › public-key cryptography › digital signatures › threshold signature
threshold ECDSA		 0.912025
Trout: Two-Round Threshold ECDSA from Class Groups · CCS 2025
Cryptographic primitives and cryptanalysis › public-key cryptography › digital signatures
threshold signature		 0.912025
Trout: Two-Round Threshold ECDSA from Class Groups · CCS 2025

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

cryptographic protocol design · 0.9class groups · 0.9
YearPublicationVenuePosition
2026 Malicious Homomorphic Secret Sharing with Applications to DV-NIZK and More
Pedro Capitão, Hila Dahari-Garbian, Lisa Kohl
 PKC (4)2
2025 Trout: Two-Round Threshold ECDSA from Class Groups
abstract
We present Trout (Two-ROUnd Threshold), the first distributed two-round ECDSA signing protocol for arbitrary thresholds. Trout has constant upload bandwidth per-party and processing time linear in the amount of participants. Moreover, Trout achieves the Identifiable Abort (IA) property, which means that if the protocol cannot terminate due to a failure, parties can attribute the failure to a specific party. We achieve this without a trusted setup.
Hila Dahari-Garbian, Ariel Nof, Luke Parker
 CCS1