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ADSNARK
- Referenced in 8 articles [sw22496]
- ADSNARK: nearly practical and privacy-preserving proofs on authenticated data. We study the problem ... privacy-preserving proofs on authenticated data, where a party receives data from a trusted source ... computations over authenticated data in a privacy-preserving manner. ADSNARK improves significantly over state...
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FRAPP
- Referenced in 3 articles [sw08861]
- FRAPP: a framework for high-accuracy privacy-preserving mining. To preserve client privacy ... design of perturbation mechanisms for privacy-preserving mining. Specifically, FRAPP is used to demonstrate that ... substantially enhancing the accuracy even under strict privacy requirements. We also propose a novel perturbation ... general-purpose random-perturbation-based privacy-preserving mining technique, is evaluated specifically with regard...
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Rmind
- Referenced in 2 articles [sw21135]
- privacy-preserving statistical analysis. Implementations of simple statistical analysis functions have been published ... used statistical analysis functions in the privacy-preserving setting including simple statistics, t-test ... regression. We give descriptions of the privacy-preserving algorithms and benchmark results that show...
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POSEIDON
- Referenced in 1 article [sw40779]
- POSEIDON: Privacy-Preserving Federated Neural Network Learning. In this paper, we address the problem ... privacy-preserving training and evaluation of neural networks in an N-party, federated learning setting ... kind in the regime of privacy-preserving neural network training. It employs multiparty lattice-based...
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ZIDS
- Referenced in 1 article [sw33563]
- ZIDS: A privacy-preserving intrusion detection system using secure two-party computation protocols. We introduce ... solve this problem, we reduce privacy-preserving intrusion detection to an instance of secure ... provide a full implementation of our privacy-preserving system that includes optimizations that lead...