| Secure multiparty computation goes live P Bogetoft, D Christensen, I Damgård, M Geisler, T Jakobsen, ... Financial Cryptography and Data Security, 325-343, 2009 | 729 | 2009 |
| Privacy-preserving face recognition Z Erkin, M Franz, J Guajardo, S Katzenbeisser, I Lagendijk, T Toft Privacy Enhancing Technologies: 9th International Symposium, PETS 2009 …, 2009 | 684 | 2009 |
| 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 | 537 | 2006 |
| 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 | 246 | 2012 |
| 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 | 231 | 2012 |
| 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 | 161* | 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, 265-323, 2019 | 136 | 2019 |
| Computationally secure pattern matching in the presence of malicious adversaries C Hazay, T Toft Journal of cryptology 27, 358-395, 2014 | 115 | 2014 |
| Secure Equality and Greater-Than Tests with Sublinear Online Complexity H Lipmaa, T Toft | 86* | |
| Confidential benchmarking based on multiparty computation I Damgård, K Damgård, K Nielsen, PS Nordholt, T Toft Financial Cryptography and Data Security: 20th International Conference, FC …, 2017 | 84 | 2017 |
| Primitives and applications for multi-party computation T Toft PhD thesis, University of Aarhus, Aarhus, Denmark, 2007 | 81 | 2007 |
| Solving linear programs using multiparty computation T Toft Financial Cryptography and Data Security, 90-107, 2009 | 75 | 2009 |
| 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 | 48 | 2009 |
| On secure two-party integer division M Dahl, C Ning, T Toft Financial Cryptography and Data Security: 16th International Conference, FC …, 2012 | 47 | 2012 |
| Sub-linear, secure comparison with two non-colluding parties T Toft Public Key Cryptography–PKC 2011: 14th International Conference on Practice …, 2011 | 46 | 2011 |
| Constant-rounds, almost-linear bit-decomposition of secret shared values T Toft Topics in Cryptology–CT-RSA 2009: The Cryptographers’ Track at the RSA …, 2009 | 42 | 2009 |
| Secure data structures based on multi-party computation T Toft Proceedings of the 30th annual ACM SIGACT-SIGOPS symposium on Principles of …, 2011 | 40 | 2011 |
| An empirical study and some improvements of the MiniMac protocol for secure computation I Damgård, R Lauritsen, T Toft Security and Cryptography for Networks: 9th International Conference, SCN …, 2014 | 35 | 2014 |
| Better preprocessing for secure multiparty computation C Baum, I Damgård, T Toft, R Zakarias Applied Cryptography and Network Security: 14th International Conference …, 2016 | 34 | 2016 |
| Privacy-preserving distributed clustering Z Erkin, T Veugen, T Toft, RL Lagendijk EURASIP Journal on Information Security 2013 (1), 1-15, 2013 | 34 | 2013 |
Ivan DamgårdProfessor of Computer Science, Aarhus UniversityBestätigte E-Mail-Adresse bei cs.au.dk
