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EDBT 2026 Demo / reviewers in the wild / expert

Nathalie Casati

dblp:51/8341 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

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

Artificial intelligence and machine learning · 1Security and privacy · 1Graphics, computer vision, multimedia, augmented reality and games · 1

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.

Artificial intelligence
1 paper
Efficient and distributed learning · 50% Probabilistic and Bayesian machine learning · 50%
Network and information security
1 paper
Authentication and access control · 50% Cryptographic protocols and secure computation · 50%

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

TopicWeightPapersLastEvidence papers
Machine learning › Efficient and distributed learning
active learning		 0.212013
Active Learning for Level Set Estimation · IJCAI 2013
Machine learning › Probabilistic and Bayesian machine learning
level-set estimation		 0.212013
Active Learning for Level Set Estimation · IJCAI 2013
Authentication and access control
authentication		 0.112010
Credential Authenticated Identification and Key Exchange · CRYPTO 2010
Cryptographic protocols and secure computation
key exchange		 0.112010
Credential Authenticated Identification and Key Exchange · CRYPTO 2010

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

active learning · 0.2credential authentication · 0.1
YearPublicationVenuePosition
2013 Active Learning for Level Set Estimation
Alkis Gotovos, Nathalie Casati, Gregory Hitz, Andreas Krause 0001
 IJCAI2
2010 Credential Authenticated Identification and Key Exchange
Jan Camenisch, Nathalie Casati, Thomas Groß 0001, Victor Shoup
 CRYPTO2