Inald Lagendijk

2017
Nateghizad M, Erkin Z, Lagendijk RL. Privacy-Preserving Equality Test. Symposium on Information Theory and Signal Processing in the Benelux. 2017. Download: WIC2017.pdf (205.29 KB)
2016
2015
Sips R-J, Erkin Z, Manta A, Havers B, Lagendijk RL. Towards Closing the Gap between Theory and Practice in Open Data Publishing. In: 36th WIC Symposium on Information Theory in the Benelux. 36th WIC Symposium on Information Theory in the Benelux. Université Libre de Bruxelles, Brussels, Belgium.; 2015:174-183.
2013
Manta A. Publishing Privacy Sensitive Open Data. Intelligent Systems. 2013;Master:92. Download: thesis_final.pdf (2.02 MB)
Jeckmans AJP, Beye M, Erkin Z, et al. Privacy in Recommender Systems. In: Hua X-S, Ramzan N, van Zwol R, Lee J-S, Clüver K Social Media Retrieval. Social Media Retrieval.; 2013:263-281.
2012
Erkin Z, Beye M, Veugen T, Lagendijk RL. Privacy-Preserving Content-Based Recommendations through Homomorphic Encryption. In: 33rd WIC Symposium on Information Theory in the Benelux. 33rd WIC Symposium on Information Theory in the Benelux. Boekelo, The Netherlands; 2012. Download: Privacy-Preserving Content-Based Recommendations through Homomorphic Encryption - 2012.pdf (128.24 KB)
Puech W, Erkin Z, Barni M, Rane S, Lagendijk RL. Emerging Cryptographic Challenges in Image and Video Processing. IEEE International Conference on Image Processing. 2012. Download: 0002629.pdf (128.89 KB)
Erkin Z, Beye M, Veugen T, Lagendijk RL. Privacy-Preserving Content-Based Recommender System. In: The 14th ACM Workshop on Multimedia and Security. The 14th ACM Workshop on Multimedia and Security. Coventry, UK; 2012:77-84. Download: Privacy-Preserving Content-Based Recommender System - 2012.pdf (134.14 KB)
Beye M, Jeckmans AJP, Erkin Z, et al. Privacy in Online Social Networks. In: Abraham A Computational Social Networks: Security and Privacy. Computational Social Networks: Security and Privacy. London; 2012. Abstract
2011
Erkin Z, Beye M, Veugen T, Lagendijk RL. Efficiently Computing Private Recommendations. In: International Conference on Acoustic, Speech and Signal Processing-ICASSP . International Conference on Acoustic, Speech and Signal Processing-ICASSP . Prag, Czech Republic; 2011:5864--5867. Download: Efficiently computing private recommendations - ICASSP 2011.pdf (112.39 KB)
Beye M, Erkin Z, Lagendijk RL. Efficient Privacy Preserving K-means Clustering in a Three-Party Setting. In: IEEE Workshop on Information Forensics and Security (WIFS’11). IEEE Workshop on Information Forensics and Security (WIFS’11). Foz do Iguaçu, Brazil; 2011. Available at: http://wifs11.org/. Abstract