Publications by type

Conference Papers

Chen, Y., Schnell, R., Armknecht, F. & Heng, Y. (2021*), Salting as a Countermeasure Against Attacks on Privacy Preserving Record Linkage Techniques. In: Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF. Hrsg. von Nathalie Bier. Setúbal: SciTePress: 353–360.[PDF]

Ranbaduge, T., Christen, P. & Schnell, R. (2020*): Secure and Accurate Two-Step Hash Encoding for Privacy-Preserving Record Linkage. In: Advances in Knowledge Discovery and Data Mining. Hrsg. von Hady W. Lauw, Raymond Chi-Wing Wong, Alexandros Ntoulas, Ee-Peng Lim, See-Kiong Ng und Sinno Jialin Pan. Cham: Springer International Publishing: 139–151.[PDF]

Ranbaduge, T. & Schnell, R. (2020*): Securing Bloom Filters for Privacy-preserving Record Linkage. In: CIKM ’20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management. New York: Association for Computing Machinery: 2185–2188.[PDF]

Schnell, R. & Borgs, C. (2020*): Encoding Hierarchical Classification Codes for Privacy-Preserving Record Linkage Using Bloom Filters. In: Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2019 Workshops, CCIS 1168. Hrsg. von P. Cellier und K. Driessens. Würzburg: Springer: 1–15.[PDF]

Schnell, R. & Borgs, C. (2020): Implementing Privacy-preserving National Health Registries. In: Proceedings of Statistics Canada Symposium 2018 - Combine to Conquer: Innovations in the Use of Multiple Sources of Data.[PDF]

Klingwort, J., Buelens, B. & Schnell, R. (2020): Transport Survey Estimate Adjustment by Permanently Installed Highway-sensors Using Capture-recapture Techniques. In: Proceedings of Statistics Canada Symposium 2018 - Combine to Conquer: Innovations in the Use of Multiple Sources of Data.[PDF]

Vidanage, A., Christen, P., Ranbaduge, T., & Schnell, R. (2020): A Graph Matching Attack on Privacy-Preserving Record Linkage. In: CIKM ’20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management. New York: Association for Computing Machinery: 1485–1494.[PDF]

Klingwort, J., Buelens, B., Burger, J. & Schnell, R. (2019*): Graph-based Inference from Non-Probability Road Sensor Data. In: Complex Networks 2019. In: The 8th International Conference on Complex Networks and their Applications, 599-601.

Schnell, R. & Redlich, S. (2019*): Web Scraping Online Newspaper Death Notices for the Estimation of the Local Number of Deaths. In: Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF: 319-325.

Vidanage, A., Ranbaduge, T., Christen, P & Schnell, R. (2019*): Efficient Pattern Mining based Cryptanalysis for Privacy-Preserving Record Linkage. In: 2019 IEEE 35th International Conference on Data Engineering (ICDE): 1698–1701.

Christen, P., Ranbaduge, T., Vatsalan, D. & Schnell, R. (2018*): Pattern-Mining based Cryptanalysis of Bloom Filters for Privacy-Preserving Record Linkage. In: The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), June 3rd – 6th, 2018, Melbourne, Australia.

Schnell, R. & Borgs, C. (2017*): State of the Art Privacy-preserving Record Linkage of Large Administrative Data Sets. In: New Techniques and Technologies for Statistics (NTTS): 13--17 March 2017; Brussels, 14.03.2017

Christen, P., Schnell, R., Vatsalan, D. & Ranbaduge, T. (2017*): Efficient Cryptanalysis of Bloom Filters for Privacy-Preserving Record Linkage. In: Kim, J., Shim, K., Cao, L., Lee, J.-G., Lin, X. & Moon, Y.-S. (eds.): Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia Conference, PAKDD 2017 Jeju, South Korea, May 23–26, 2017 Proceedings, Part I. Cham: Springer: 628–640.

Schnell, R. , Richter, A. & Borgs, C.  (2017*): A Comparison of Statistical Linkage Keys with Bloom Filter-based Encryptions for Privacy-preserving Record Linkage Using Real-world Mammography Data. In: Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) – Volume 5: HEALTHINF, SCITEPRESS: 276–283.

Stausberg, J., Waldenburger, A., Borgs, C. & Schnell, R. (2017*): Combining Different Privacy-Preserving Record Linkage Methods for Hospital Admission Data. In: Informatics for Health 2017, April 24-26, 2017, Manchester Central, UK. EFMI/Farr.

Schnell, R., Borgs, C. (2016*): Randomized Response and Balanced Bloom Filters for Privacy Preserving Record Linkage; in: Proceedings of the 2016 IEEE International Conference on Data Mining (ICDM),

Schnell, R., Borgs, C. (2015*): Building a National Perinatal Database Without the Use of Unique Personal Identifiers; in: Proceedings of the 2015 IEEE 15th International Conference on Data Mining Workshops, pp. 232--239.
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Sehili, Z., Kolb, L., Borgs, C., Schnell, R., Rahm, E. (2015*): Privacy Preserving Record Linkage with PPJoin; in: Proceedings 16. GI-Konferenz für Datenbanksysteme in Business, Technologie und Web (BTW), LNI, pp. 85-104.
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Schnell, R. (2013*): Efficient Private Record Linkage of Very Large Datasets; in: Proceedings of the International Statistical Institute, 59th World Statistics Congress, S. 1862-1867.
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Schnell, R. (2013*): Privacy-Preserving Record Linkage and Privacy-Preserving Blocking for Large Files with Cryptographic Keys using Multibit Trees. In: Proceedings of the Joint Statistical Meetings. Alexandria: American Statistical Association: 187-194.

Bachteler, T., Schnell, R. & Reiher, J. (2010): An Empirical Comparison of Approaches to Approximate String Matching in Private Record Linkage. In: Proceedings of Statistics Canada Symposium 2010. Social Statistics: The Interplay among Censuses, Surveys and Administrative Data. Ed. by Statistics Canada. Ottawa: Statistics Canada: 290-295.

Schnell, R., Bachteler, T. & Reiher, J. (2010): Private Record Linkage with Bloom Filters. In: Proceedings of Statistics Canada Symposium 2010. Social Statistics: The Interplay among Censuses, Surveys and Administrative Data. Ed. by Statistics Canada. Ottawa: Statistics Canada: 304-309.

Schnell, R., Gramlich, T., Mosthaf, A. & Bender, S. (2010): Using Complete Administration Data for Nonresponse Analysis: the PASS Survey of Low-income Households in Germany. In: Proceedings of Statistics Canada Symposium 2010. Social Statistics: The Interplay among Censuses, Surveys and Administrative Data. Ed. by Statistics Canada. Ottawa: Statistics Canada: 104-109.

Schnell, R., Bachteler, T. & Bender, S. (2003): Record Linkage Using Error-prone Strings; in: Proceedings of the Section on Survey Research Methods, American Statistical Association, pp. 3713-3717.
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Coutts, E., Kreuter, F., Schnell, R. & Thume, D. (2002): [Abstract:] "Not very likely. I'd say 70%": Estimation of subjective probabilities; in: Blasius, J., Hox, J., de Leeuw, E. & Schmidt, P. (eds.): Social Science Methodology in the New Millennium. Updated and Extended Proceedings of the Fifth International Conference on Logic and Methodology: 3--6 October 2000; Cologne, Opladen: Leske + Budrich.
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Schnell, R. & Kreuter, F. (2002): [Abstract:] Empirical Estimation of Design Effects in Complex Samples; in: Blasius, J., Hox, J., de Leeuw, E. & Schmidt, P. (eds.): Social Science Methodology in the New Millennium. Updated and Extended Proceedings of the Fifth International Conference on Logic and Methodology: 3--6 October 2000; Cologne, Opladen: Leske + Budrich.
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Schnell, R. & Kreuter, F. (2002): [Abstract:] Unit-Nonresponse as a Function of Interviewer Contact Strategies; in: Blasius, J., Hox, J., de Leeuw, E. & Schmidt, P. (eds.): Social Science Methodology in the New Millennium. Updated and Extended Proceedings of the Fifth International Conference on Logic and Methodology: 3--6 October 2000; Cologne, Opladen: Leske + Budrich.
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Schnell, R. & Kreuter, F. (2002): Separating Interviewer and Sampling-point Effects; in: Proceedings of the Section on Survey Research Methods, American Statistical Association, pp. 3132-3133.
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