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Jeroen van de Graaf

dblp:27/6925 · DBLP profile ↗
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9ranked-venue papers
2as first author
0since 2021 · last 2016
0000-0001-7048-6585ORCID · corroborated

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

Security and privacy · 7 · 2 first-authorTheory of computation · 2

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
8 papers
Cryptographic protocols and secure computation · 80% Privacy and data protection · 17% Cryptographic primitives and cryptanalysis · 2%
Theoretical computer science
1 paper
Quantum computing and quantum information · 100%

Topics — the 15 heaviest of 16, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cryptographic protocols and secure computation
secure multiparty computation
0.332016
Unconditionally Secure, Universally Composable Privacy Preserving Linear Algebra · IEEE Trans. Inf. Forensics Secur. 2016
Committed Oblivious Transfer and Private Multi-Party Computation · CRYPTO 1995
Multiparty Computations Ensuring Privacy of Each Party's Input and Correctness of the Result · CRYPTO 1987
Cryptographic protocols and secure computation › composable security
universally composable security
0.212016
Unconditionally Secure, Universally Composable Privacy Preserving Linear Algebra · IEEE Trans. Inf. Forensics Secur. 2016
Cryptographic protocols and secure computation
electronic voting
0.112009
Voting with unconditional privacy by merging Prêt à voter and PunchScan · IEEE Trans. Inf. Forensics Secur. 2009
Privacy and data protection › privacy metrics
perfect privacy
0.112009
Voting with unconditional privacy by merging Prêt à voter and PunchScan · IEEE Trans. Inf. Forensics Secur. 2009
Cryptographic protocols and secure computation › electronic voting
verifiable voting protocol
0.112009
Voting with unconditional privacy by merging Prêt à voter and PunchScan · IEEE Trans. Inf. Forensics Secur. 2009
Privacy and data protection
privacy-preserving data analysis
0.112016
Unconditionally Secure, Universally Composable Privacy Preserving Linear Algebra · IEEE Trans. Inf. Forensics Secur. 2016
Cryptographic protocols and secure computation
commitment schemes
0.012009
Voting with unconditional privacy by merging Prêt à voter and PunchScan · IEEE Trans. Inf. Forensics Secur. 2009
Quantum computing and quantum information
quantum cryptography
0.011999
Cryptographic Distinguishability Measures for Quantum-Mechanical States · IEEE Trans. Inf. Theory 1999
Quantum computing and quantum information › quantum measurement
quantum state discrimination
0.011999
Cryptographic Distinguishability Measures for Quantum-Mechanical States · IEEE Trans. Inf. Theory 1999
Cryptographic protocols and secure computation
oblivious transfer
0.011995
Committed Oblivious Transfer and Private Multi-Party Computation · CRYPTO 1995
Cryptographic protocols and secure computation › proof systems › zero-knowledge proofs
proofs of knowledge
0.021987
A Simple and Secure Way to Show the Validity of Your Public Key · CRYPTO 1987
Demonstrating Possession of a Discrete Logarithm Without Revealing It · CRYPTO 1986
Cryptographic protocols and secure computation › proof systems
zero-knowledge proofs
0.021987
A Simple and Secure Way to Show the Validity of Your Public Key · CRYPTO 1987
Demonstrating Possession of a Discrete Logarithm Without Revealing It · CRYPTO 1986
Cryptographic protocols and secure computation › fair exchange
gradual release
0.011987
Gradual and Verifiable Release of a Secret · CRYPTO 1987
Cryptographic protocols and secure computation
secret sharing
0.011987
Gradual and Verifiable Release of a Secret · CRYPTO 1987
Cryptographic protocols and secure computation › secret sharing
verifiable secret sharing
0.011987
Gradual and Verifiable Release of a Secret · CRYPTO 1987

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

trusted initializer model · 0.2information-theoretic security · 0.2punchscan · 0.1prêt à voter · 0.1commitment scheme · 0.1mutual information · 0.0kolmogorov distance · 0.0bhattacharyya coefficient · 0.0
YearPublicationVenuePosition
2016 Unconditionally Secure, Universally Composable Privacy Preserving Linear Algebra
abstract
Linear algebra operations on private distributed data are frequently required in several practical scenarios (e.g., statistical analysis and privacy preserving databases). We present universally composable two-party protocols to compute inner products, determinants, eigenvalues, and eigenvectors. These protocols are built for a two-party scenario where the inputs are provided by mutually distrustful parties. After execution, the protocols yield the results of the intended operation while preserving the privacy of their inputs. Universal composability is obtained in the trusted initializer model, ensuring information theoretical security under arbitrary protocol composition in complex environments. Furthermore, our protocols are computationally efficient since they only require field multiplication and addition operations.
Bernardo Machado David, Rafael Dowsley, Jeroen van de Graaf, Davidson Marques, Anderson C. A. Nascimento, Adriana C. B. Pinto
IEEE Trans. Inf. Forensics Secur.3
2009 Voting with unconditional privacy by merging Prêt à voter and PunchScan
abstract
We present a detailed comparison of the Pret a Voter (PaV) and PunchScan (PS) protocols for booth voting. We also describe a simpler variation that keeps the ballot layout of PaV-Voter but borrows the cryptography from PS, which is based on any commitment scheme. By using unconditionally hiding commitments we obtain a conceptually very simple voting protocol with unconditional privacy.
Jeroen van de Graaf
IEEE Trans. Inf. Forensics Secur.1
2002 Security of Quantum Key Distribution against All Collective Attacks
Eli Biham, Michel Boyer, Gilles Brassard, Jeroen van de Graaf, Tal Mor
Algorithmica4
1999 Cryptographic Distinguishability Measures for Quantum-Mechanical States
abstract
This paper, mostly expository in nature, surveys four measures of distinguishability for quantum-mechanical states. This is done from the point of view of the cryptographer with a particular eye on applications in quantum cryptography. Each of the measures considered is rooted in an analogous classical measure of distinguishability for probability distributions: namely, the probability of an identification error, the Kolmogorov distance, the Bhattacharyya coefficient, and the Shannon (1948) distinguishability (as defined through mutual information). These measures have a long history of use in statistical pattern recognition and classical cryptography. We obtain several inequalities that relate the quantum distinguishability measures to each other, one of which may be crucial for proving the security of quantum cryptographic key distribution. In another vein, these measures and their connecting inequalities are used to define a single notion of cryptographic exponential indistinguishability for two families of quantum states. This is a tool that may prove useful in the analysis of various quantum-cryptographic protocols.
Christopher A. Fuchs, Jeroen van de Graaf
IEEE Trans. Inf. Theory2
1995 Committed Oblivious Transfer and Private Multi-Party Computation
Claude Crépeau, Jeroen van de Graaf, Alain Tapp
CRYPTO2
1987 Gradual and Verifiable Release of a Secret
Ernie Brickell, David Chaum, Ivan Damgård, Jeroen van de Graaf
CRYPTO4
1987 Multiparty Computations Ensuring Privacy of Each Party's Input and Correctness of the Result
David Chaum, Ivan Damgård, Jeroen van de Graaf
CRYPTO3
1987 A Simple and Secure Way to Show the Validity of Your Public Key
Jeroen van de Graaf, René Peralta 0001
CRYPTO1
1986 Demonstrating Possession of a Discrete Logarithm Without Revealing It
David Chaum, Jan-Hendrik Evertse, Jeroen van de Graaf, René Peralta 0001
CRYPTO3