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Jonas Böhler
Jonas Böhler
SAP Security Research
Verified email at sap.com
Title
Cited by
Cited by
Year
Secure multi-party computation of differentially private median
J Böhler, F Kerschbaum
29th USENIX Security Symposium (USENIX Security 20), 2147-2164, 2020
342020
Secure multi-party computation of differentially private heavy hitters
J Böhler, F Kerschbaum
Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021
242021
Privacy-preserving outlier detection for data streams
J Böhler, D Bernau, F Kerschbaum
IFIP Annual Conference on Data and Applications Security and Privacy, 225-238, 2017
24*2017
Secure sublinear time differentially private median computation
J Böhler, F Kerschbaum
27th Annual Network and Distributed System Security Symposium, {NDSS} 2020, 2020
202020
Tracking privacy budget with distributed ledger
D Bernau, F Hahn, J Boehler
US Patent 10,380,366, 2019
162019
Differential privacy and outlier detection within a non-interactive model
J Boehler, D Bernau, F Kerschbaum
US Patent 10,445,527, 2019
142019
Secure multi-party computation of differentially private heavy hitters
J Boehler
US Patent App. 17/357,096, 2023
82023
Efficient distributed privacy-preserving computations
J Boehler
US Patent App. 17/164,274, 2022
32022
Secure data processing in untrusted environments
B Fuhry, J Boehler
US Patent 11,449,624, 2022
12022
Input Secrecy & Output Privacy: Efficient Secure Computation of Differential Privacy Mechanisms
J Böhler
Karlsruhe Institute of Technology, Germany, 2021
12021
Secure multiparty differentially private median computation
J Boehler, F Kerschbaum
US Patent 11,861,038, 2024
2024
Secure data processing in untrusted environments
B Fuhry, J Boehler
US Patent App. 17/819,292, 2022
2022
Secure Computation of Differentially Private Mechanisms
J Böhler
Encyclopedia of Cryptography, Security and Privacy, 1-4, 2021
2021
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