关注
Benjamin Weggenmann
Benjamin Weggenmann
Researcher, SAP Security Research
在 sap.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
SynTF: Synthetic and Differentially Private Term Frequency Vectors for Privacy-Preserving Text Mining
B Weggenmann, F Kerschbaum
The 41st International ACM SIGIR Conference on Research & Development in …, 2018
622018
Differentially private language models for secure data sharing
J Mattern, Z Jin, B Weggenmann, B Schoelkopf, M Sachan
arXiv preprint arXiv:2210.13918, 2022
262022
DP-VAE: Human-Readable Text Anonymization for Online Reviews with Differentially Private Variational Autoencoders
B Weggenmann, V Rublack, M Andrejczuk, J Mattern, F Kerschbaum
Proceedings of the ACM Web Conference 2022, 721-731, 2022
242022
The limits of word level differential privacy
J Mattern, B Weggenmann, F Kerschbaum
arXiv preprint arXiv:2205.02130, 2022
212022
On cache timing attacks considering multi-core aspects in virtualized embedded systems
M Weiß, B Weggenmann, M August, G Sigl
Trusted Systems: 6th International Conference, INTRUST 2014, Beijing, China …, 2015
212015
Differential privacy for directional data
B Weggenmann, F Kerschbaum
Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021
162021
Method and system for automated text anonymization
B Weggenmann, F Kerschbaum
US Patent 10,999,256, 2021
142021
Differential privacy for sequential and directional data
B Weggenmann
12023
Privacy-enhanced data stream collection
M Haerterich, B Weggenmann, F Knoerzer
US Patent App. 17/010,501, 2022
12022
Data obscuring for natural language text
B Weggenmann, V Rublack
US Patent App. 17/985,217, 2024
2024
Privacy arrangement for directional data
B Weggenmann
US Patent App. 17/890,682, 2024
2024
Data obscuring for privacy-enhancement
M Haerterich, B Weggenmann
US Patent App. 17/751,397, 2023
2023
Differentially private variational autoencoders for data obfuscation
B Weggenmann, M Haerterich, F Knoerzer
US Patent App. 17/550,634, 2023
2023
Selecting differential privacy parameters in neural networks
B Weggenmann, M Haerterich
US Patent App. 17/550,650, 2023
2023
Privacy for directional data
B Weggenmann
US Patent 11,490,250, 2022
2022
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