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Tomas Toft
Tomas Toft
PostDoc, Computer Science Dept., Aarhus University
Geverifieerd e-mailadres voor cs.au.dk
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Secure multiparty computation goes live
P Bogetoft, D Christensen, I Damgård, M Geisler, T Jakobsen, ...
Financial Cryptography and Data Security, 325-343, 2009
7022009
Privacy-preserving face recognition
Z Erkin, M Franz, J Guajardo, S Katzenbeisser, I Lagendijk, T Toft
International symposium on privacy enhancing technologies symposium, 235-253, 2009
6692009
Unconditionally secure constant-rounds multi-party computation for equality, comparison, bits and exponentiation
I Damgård, M Fitzi, E Kiltz, J Nielsen, T Toft
Theory of Cryptography, 285-304, 2006
5092006
Generating private recommendations efficiently using homomorphic encryption and data packing
Z Erkin, T Veugen, T Toft, RL Lagendijk
IEEE transactions on information forensics and security 7 (3), 1053-1066, 2012
2302012
High-performance secure multi-party computation for data mining applications
D Bogdanov, M Niitsoo, T Toft, J Willemson
International Journal of Information Security 11 (6), 403-418, 2012
2212012
A practical implementation of secure auctions based on multiparty integer computation
P Bogetoft, I Damgård, T Jakobsen, K Nielsen, J Pagter, T Toft
Financial Cryptography and Data Security, 142-147, 2006
160*2006
Efficient RSA key generation and threshold paillier in the two-party setting
C Hazay, GL Mikkelsen, T Rabin, T Toft, AA Nicolosi
Journal of Cryptology 32 (2), 265-323, 2019
1302019
Computationally secure pattern matching in the presence of malicious adversaries
C Hazay, T Toft
International Conference on the Theory and Application of Cryptology and …, 2010
922010
Springer Berlin Heidelberg
Z Erkin, M Franz, J Guajardo, S Katzenbeisser, I Lagendijk, T Toft
Berlin, Heidelberg, 2009
832009
Secure Equality and Greater-Than Tests with Sublinear Online Complexity
H Lipmaa, T Toft
80*
Primitives and applications for multi-party computation
T Toft
PhD thesis, University of Aarhus, Aarhus, Denmark, 2007
782007
Confidential benchmarking based on multiparty computation
I Damgård, K Damgård, K Nielsen, PS Nordholt, T Toft
International Conference on Financial Cryptography and Data Security, 169-187, 2016
722016
Solving linear programs using multiparty computation
T Toft
Financial Cryptography and Data Security, 90-107, 2009
672009
Privacy-preserving user clustering in a social network
Z Erkin, T Veugen, T Toft, RL Lagendijk
2009 First IEEE International Workshop on Information Forensics and Security …, 2009
492009
On secure two-party integer division
M Dahl, C Ning, T Toft
International Conference on Financial Cryptography and Data Security, 164-178, 2012
462012
Sub-linear, secure comparison with two non-colluding parties
T Toft
International Workshop on Public Key Cryptography, 174-191, 2011
452011
Constant-rounds, almost-linear bit-decomposition of secret shared values
T Toft
Cryptographers’ Track at the RSA Conference, 357-371, 2009
412009
Secure data structures based on multi-party computation
T Toft
Proceedings of the 30th annual ACM SIGACT-SIGOPS symposium on Principles of …, 2011
372011
An empirical study and some improvements of the MiniMac protocol for secure computation
I Damgård, R Lauritsen, T Toft
International Conference on Security and Cryptography for Networks, 398-415, 2014
342014
Privacy-preserving distributed clustering
Z Erkin, T Veugen, T Toft, RL Lagendijk
EURASIP Journal on Information Security 2013 (1), 1-15, 2013
332013
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Artikelen 1–20