Privacy-Preserving Decision Trees Training and Prediction
| العنوان: | Privacy-Preserving Decision Trees Training and Prediction |
|---|---|
| المؤلفون: | Moni Shahar, Margarita Vald, Roey Ron, Max Leibovich, Adi Akavia, Yehezkel S. Resheff |
| المصدر: | Machine Learning and Knowledge Discovery in Databases ISBN: 9783030676575 ECML/PKDD (1) |
| بيانات النشر: | Springer International Publishing, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | 0303 health sciences, Computer science, business.industry, Decision tree, Homomorphic encryption, Cloud computing, 02 engineering and technology, Computer security, computer.software_genre, Encryption, Training (civil), Data-driven, 03 medical and health sciences, Resource (project management), Information leakage, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, business, computer, 030304 developmental biology |
| الوصف: | In the era of cloud computing and machine learning, data has become a highly valuable resource. Recent history has shown that the benefits brought forth by this data driven culture come at a cost of potential data leakage. Such breaches have a devastating impact on individuals and industry, and lead the community to seek privacy preserving solutions. A promising approach is to utilize Fully Homomorphic Encryption (\(\mathsf {FHE }\)) to enable machine learning over encrypted data, thus providing resiliency against information leakage. However, computing over encrypted data incurs a high computational overhead, thus requiring the redesign of algorithms, in an “\(\mathsf {FHE }\)-friendly” manner, to maintain their practicality. |
| ردمك: | 978-3-030-67657-5 |
| DOI: | 10.1007/978-3-030-67658-2_9 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::d9b09d44c6968ffb7db8a2a0b8398ff6 https://doi.org/10.1007/978-3-030-67658-2_9 |
| Rights: | CLOSED |
| رقم الانضمام: | edsair.doi...........d9b09d44c6968ffb7db8a2a0b8398ff6 |
| قاعدة البيانات: | OpenAIRE |
| ردمك: | 9783030676575 |
|---|---|
| DOI: | 10.1007/978-3-030-67658-2_9 |